{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}/Users/slong/Desktop/LongPickering Replication Log.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res} 7 Jul 2021, 17:46:05

{com}. *TABLE 1

. *Model 1

. logit mid lgswid8 lglnmilex borders openness lgmunrest lgeunrest lggdp lgpolity2 t t2 t3, nolog vce (cluster ccode)
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     3,685
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}    402.69
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1416.6297{txt}{col 49}Pseudo R2{col 67}= {res}    0.2452

{txt}{ralign 78:(Std. Err. adjusted for {res:151} clusters in ccode)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}         mid{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}lgswid8 {c |}{col 14}{res}{space 2} .0115631{col 26}{space 2} .0073995{col 37}{space 1}    1.56{col 46}{space 3}0.118{col 54}{space 4}-.0029397{col 67}{space 3} .0260659
{txt}{space 3}lglnmilex {c |}{col 14}{res}{space 2} .2387148{col 26}{space 2} .0376784{col 37}{space 1}    6.34{col 46}{space 3}0.000{col 54}{space 4} .1648664{col 67}{space 3} .3125632
{txt}{space 5}borders {c |}{col 14}{res}{space 2} .0394505{col 26}{space 2} .0249969{col 37}{space 1}    1.58{col 46}{space 3}0.115{col 54}{space 4}-.0095426{col 67}{space 3} .0884435
{txt}{space 4}openness {c |}{col 14}{res}{space 2}-.0040163{col 26}{space 2} .0016474{col 37}{space 1}   -2.44{col 46}{space 3}0.015{col 54}{space 4}-.0072451{col 67}{space 3}-.0007875
{txt}{space 3}lgmunrest {c |}{col 14}{res}{space 2} .0053217{col 26}{space 2} .0119252{col 37}{space 1}    0.45{col 46}{space 3}0.655{col 54}{space 4}-.0180513{col 67}{space 3} .0286946
{txt}{space 3}lgeunrest {c |}{col 14}{res}{space 2}  .011901{col 26}{space 2} .0565236{col 37}{space 1}    0.21{col 46}{space 3}0.833{col 54}{space 4}-.0988832{col 67}{space 3} .1226851
{txt}{space 7}lggdp {c |}{col 14}{res}{space 2}-.0109568{col 26}{space 2} .0093678{col 37}{space 1}   -1.17{col 46}{space 3}0.242{col 54}{space 4}-.0293174{col 67}{space 3} .0074038
{txt}{space 3}lgpolity2 {c |}{col 14}{res}{space 2}-.0244145{col 26}{space 2} .0089374{col 37}{space 1}   -2.73{col 46}{space 3}0.006{col 54}{space 4}-.0419315{col 67}{space 3}-.0068975
{txt}{space 11}t {c |}{col 14}{res}{space 2}-.5167861{col 26}{space 2}  .040892{col 37}{space 1}  -12.64{col 46}{space 3}0.000{col 54}{space 4}-.5969329{col 67}{space 3}-.4366392
{txt}{space 10}t2 {c |}{col 14}{res}{space 2} .0279334{col 26}{space 2} .0032773{col 37}{space 1}    8.52{col 46}{space 3}0.000{col 54}{space 4}   .02151{col 67}{space 3} .0343568
{txt}{space 10}t3 {c |}{col 14}{res}{space 2} -.000418{col 26}{space 2} .0000662{col 37}{space 1}   -6.31{col 46}{space 3}0.000{col 54}{space 4}-.0005477{col 67}{space 3}-.0002882
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -3.74864{col 26}{space 2} .7019195{col 37}{space 1}   -5.34{col 46}{space 3}0.000{col 54}{space 4}-5.124377{col 67}{space 3}-2.372903
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *Model 2

. logit mid lgswid8 lglnmilex borders openness lgmunrest lgeunrest lggdp t t2 t3 if polity2>5, nolog vce (cluster ccode)
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     2,299
{txt}{col 49}Wald chi2({res}10{txt}){col 67}= {res}    276.24
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-793.53273{txt}{col 49}Pseudo R2{col 67}= {res}    0.2750

{txt}{ralign 78:(Std. Err. adjusted for {res:113} clusters in ccode)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}         mid{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}lgswid8 {c |}{col 14}{res}{space 2} .0209925{col 26}{space 2} .0092532{col 37}{space 1}    2.27{col 46}{space 3}0.023{col 54}{space 4} .0028566{col 67}{space 3} .0391284
{txt}{space 3}lglnmilex {c |}{col 14}{res}{space 2} .3071907{col 26}{space 2}  .048755{col 37}{space 1}    6.30{col 46}{space 3}0.000{col 54}{space 4} .2116327{col 67}{space 3} .4027486
{txt}{space 5}borders {c |}{col 14}{res}{space 2} .0224382{col 26}{space 2} .0326962{col 37}{space 1}    0.69{col 46}{space 3}0.493{col 54}{space 4}-.0416453{col 67}{space 3} .0865216
{txt}{space 4}openness {c |}{col 14}{res}{space 2} -.001015{col 26}{space 2} .0024595{col 37}{space 1}   -0.41{col 46}{space 3}0.680{col 54}{space 4}-.0058354{col 67}{space 3} .0038054
{txt}{space 3}lgmunrest {c |}{col 14}{res}{space 2} .0026029{col 26}{space 2} .0188786{col 37}{space 1}    0.14{col 46}{space 3}0.890{col 54}{space 4}-.0343986{col 67}{space 3} .0396043
{txt}{space 3}lgeunrest {c |}{col 14}{res}{space 2} .1703314{col 26}{space 2} .0886971{col 37}{space 1}    1.92{col 46}{space 3}0.055{col 54}{space 4}-.0035118{col 67}{space 3} .3441746
{txt}{space 7}lggdp {c |}{col 14}{res}{space 2}-.0223376{col 26}{space 2} .0196908{col 37}{space 1}   -1.13{col 46}{space 3}0.257{col 54}{space 4}-.0609309{col 67}{space 3} .0162557
{txt}{space 11}t {c |}{col 14}{res}{space 2}  -.56743{col 26}{space 2} .0514576{col 37}{space 1}  -11.03{col 46}{space 3}0.000{col 54}{space 4}-.6682849{col 67}{space 3} -.466575
{txt}{space 10}t2 {c |}{col 14}{res}{space 2} .0319413{col 26}{space 2} .0043779{col 37}{space 1}    7.30{col 46}{space 3}0.000{col 54}{space 4} .0233607{col 67}{space 3} .0405219
{txt}{space 10}t3 {c |}{col 14}{res}{space 2}-.0004917{col 26}{space 2} .0000914{col 37}{space 1}   -5.38{col 46}{space 3}0.000{col 54}{space 4}-.0006708{col 67}{space 3}-.0003126
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-5.415594{col 26}{space 2} .9978389{col 37}{space 1}   -5.43{col 46}{space 3}0.000{col 54}{space 4}-7.371322{col 67}{space 3}-3.459866
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *Model 3

. logit mid lgswid8 lglnmilex borders openness lgmunrest lgeunrest lggdp t t2 t3 if polity2<6, nolog vce (cluster ccode)
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     1,502
{txt}{col 49}Wald chi2({res}10{txt}){col 67}= {res}    229.99
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-650.13883{txt}{col 49}Pseudo R2{col 67}= {res}    0.2107

{txt}{ralign 78:(Std. Err. adjusted for {res:100} clusters in ccode)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}         mid{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}lgswid8 {c |}{col 14}{res}{space 2} .0056972{col 26}{space 2} .0141168{col 37}{space 1}    0.40{col 46}{space 3}0.687{col 54}{space 4}-.0219713{col 67}{space 3} .0333657
{txt}{space 3}lglnmilex {c |}{col 14}{res}{space 2} .1741669{col 26}{space 2} .0554076{col 37}{space 1}    3.14{col 46}{space 3}0.002{col 54}{space 4}   .06557{col 67}{space 3} .2827638
{txt}{space 5}borders {c |}{col 14}{res}{space 2} .0500615{col 26}{space 2}  .031235{col 37}{space 1}    1.60{col 46}{space 3}0.109{col 54}{space 4} -.011158{col 67}{space 3} .1112811
{txt}{space 4}openness {c |}{col 14}{res}{space 2}-.0055384{col 26}{space 2} .0021535{col 37}{space 1}   -2.57{col 46}{space 3}0.010{col 54}{space 4}-.0097592{col 67}{space 3}-.0013175
{txt}{space 3}lgmunrest {c |}{col 14}{res}{space 2} .0132445{col 26}{space 2} .0149876{col 37}{space 1}    0.88{col 46}{space 3}0.377{col 54}{space 4}-.0161306{col 67}{space 3} .0426196
{txt}{space 3}lgeunrest {c |}{col 14}{res}{space 2}-.0084413{col 26}{space 2} .0529891{col 37}{space 1}   -0.16{col 46}{space 3}0.873{col 54}{space 4}-.1122981{col 67}{space 3} .0954155
{txt}{space 7}lggdp {c |}{col 14}{res}{space 2}-.0001478{col 26}{space 2} .0139555{col 37}{space 1}   -0.01{col 46}{space 3}0.992{col 54}{space 4}   -.0275{col 67}{space 3} .0272045
{txt}{space 11}t {c |}{col 14}{res}{space 2}-.4450973{col 26}{space 2} .0576595{col 37}{space 1}   -7.72{col 46}{space 3}0.000{col 54}{space 4}-.5581078{col 67}{space 3}-.3320867
{txt}{space 10}t2 {c |}{col 14}{res}{space 2} .0226844{col 26}{space 2}  .004481{col 37}{space 1}    5.06{col 46}{space 3}0.000{col 54}{space 4} .0139019{col 67}{space 3}  .031467
{txt}{space 10}t3 {c |}{col 14}{res}{space 2}-.0003272{col 26}{space 2} .0000892{col 37}{space 1}   -3.67{col 46}{space 3}0.000{col 54}{space 4}-.0005019{col 67}{space 3}-.0001524
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -2.61009{col 26}{space 2} 1.056893{col 37}{space 1}   -2.47{col 46}{space 3}0.014{col 54}{space 4}-4.681563{col 67}{space 3}-.5386168
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *Model 4

. logit midforce lgswid8 lglnmilex borders openness lgmunrest lgeunrest lggdp lgpolity2 mft mft2 mft3, nolog vce (cluster ccode)
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     3,685
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}    394.38
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res} -1061.104{txt}{col 49}Pseudo R2{col 67}= {res}    0.2992

{txt}{ralign 78:(Std. Err. adjusted for {res:151} clusters in ccode)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    midforce{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}lgswid8 {c |}{col 14}{res}{space 2}  .015757{col 26}{space 2} .0087254{col 37}{space 1}    1.81{col 46}{space 3}0.071{col 54}{space 4}-.0013445{col 67}{space 3} .0328585
{txt}{space 3}lglnmilex {c |}{col 14}{res}{space 2} .2202018{col 26}{space 2}  .039009{col 37}{space 1}    5.64{col 46}{space 3}0.000{col 54}{space 4} .1437456{col 67}{space 3}  .296658
{txt}{space 5}borders {c |}{col 14}{res}{space 2} .0150303{col 26}{space 2} .0246972{col 37}{space 1}    0.61{col 46}{space 3}0.543{col 54}{space 4}-.0333753{col 67}{space 3} .0634358
{txt}{space 4}openness {c |}{col 14}{res}{space 2}-.0057023{col 26}{space 2} .0020374{col 37}{space 1}   -2.80{col 46}{space 3}0.005{col 54}{space 4}-.0096956{col 67}{space 3} -.001709
{txt}{space 3}lgmunrest {c |}{col 14}{res}{space 2} .0193696{col 26}{space 2}  .012662{col 37}{space 1}    1.53{col 46}{space 3}0.126{col 54}{space 4}-.0054474{col 67}{space 3} .0441866
{txt}{space 3}lgeunrest {c |}{col 14}{res}{space 2}  .016611{col 26}{space 2}  .056566{col 37}{space 1}    0.29{col 46}{space 3}0.769{col 54}{space 4}-.0942563{col 67}{space 3} .1274783
{txt}{space 7}lggdp {c |}{col 14}{res}{space 2}-.0093324{col 26}{space 2}  .010853{col 37}{space 1}   -0.86{col 46}{space 3}0.390{col 54}{space 4}-.0306039{col 67}{space 3} .0119392
{txt}{space 3}lgpolity2 {c |}{col 14}{res}{space 2}-.0145028{col 26}{space 2} .0105985{col 37}{space 1}   -1.37{col 46}{space 3}0.171{col 54}{space 4}-.0352754{col 67}{space 3} .0062698
{txt}{space 9}mft {c |}{col 14}{res}{space 2}-.6037917{col 26}{space 2}  .053807{col 37}{space 1}  -11.22{col 46}{space 3}0.000{col 54}{space 4}-.7092515{col 67}{space 3} -.498332
{txt}{space 8}mft2 {c |}{col 14}{res}{space 2} .0331672{col 26}{space 2} .0038233{col 37}{space 1}    8.68{col 46}{space 3}0.000{col 54}{space 4} .0256738{col 67}{space 3} .0406607
{txt}{space 8}mft3 {c |}{col 14}{res}{space 2}-.0005106{col 26}{space 2} .0000738{col 37}{space 1}   -6.91{col 46}{space 3}0.000{col 54}{space 4}-.0006553{col 67}{space 3}-.0003658
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-3.633914{col 26}{space 2} .7883139{col 37}{space 1}   -4.61{col 46}{space 3}0.000{col 54}{space 4}-5.178981{col 67}{space 3}-2.088847
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *Model 5

. logit midforce lgswid8 lglnmilex borders openness lgmunrest lgeunrest lggdp mft mft2 mft3 if polity2>5, nolog vce (cluster ccode)
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     2,299
{txt}{col 49}Wald chi2({res}10{txt}){col 67}= {res}    333.40
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-532.06146{txt}{col 49}Pseudo R2{col 67}= {res}    0.3768

{txt}{ralign 78:(Std. Err. adjusted for {res:113} clusters in ccode)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    midforce{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}lgswid8 {c |}{col 14}{res}{space 2} .0257417{col 26}{space 2} .0112204{col 37}{space 1}    2.29{col 46}{space 3}0.022{col 54}{space 4} .0037501{col 67}{space 3} .0477334
{txt}{space 3}lglnmilex {c |}{col 14}{res}{space 2} .3483463{col 26}{space 2} .0511629{col 37}{space 1}    6.81{col 46}{space 3}0.000{col 54}{space 4} .2480688{col 67}{space 3} .4486237
{txt}{space 5}borders {c |}{col 14}{res}{space 2} .0061116{col 26}{space 2} .0316827{col 37}{space 1}    0.19{col 46}{space 3}0.847{col 54}{space 4}-.0559855{col 67}{space 3} .0682086
{txt}{space 4}openness {c |}{col 14}{res}{space 2} -.000526{col 26}{space 2}  .003177{col 37}{space 1}   -0.17{col 46}{space 3}0.869{col 54}{space 4}-.0067528{col 67}{space 3} .0057009
{txt}{space 3}lgmunrest {c |}{col 14}{res}{space 2} .0136816{col 26}{space 2}   .02317{col 37}{space 1}    0.59{col 46}{space 3}0.555{col 54}{space 4}-.0317307{col 67}{space 3} .0590939
{txt}{space 3}lgeunrest {c |}{col 14}{res}{space 2} .3735128{col 26}{space 2} .1024442{col 37}{space 1}    3.65{col 46}{space 3}0.000{col 54}{space 4} .1727258{col 67}{space 3} .5742997
{txt}{space 7}lggdp {c |}{col 14}{res}{space 2}-.0243484{col 26}{space 2} .0236506{col 37}{space 1}   -1.03{col 46}{space 3}0.303{col 54}{space 4}-.0707027{col 67}{space 3} .0220059
{txt}{space 9}mft {c |}{col 14}{res}{space 2}-.6943732{col 26}{space 2} .0674372{col 37}{space 1}  -10.30{col 46}{space 3}0.000{col 54}{space 4}-.8265478{col 67}{space 3}-.5621986
{txt}{space 8}mft2 {c |}{col 14}{res}{space 2} .0380222{col 26}{space 2} .0046747{col 37}{space 1}    8.13{col 46}{space 3}0.000{col 54}{space 4} .0288599{col 67}{space 3} .0471845
{txt}{space 8}mft3 {c |}{col 14}{res}{space 2}-.0005723{col 26}{space 2} .0000887{col 37}{space 1}   -6.45{col 46}{space 3}0.000{col 54}{space 4}-.0007462{col 67}{space 3}-.0003984
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-6.324957{col 26}{space 2} 1.182455{col 37}{space 1}   -5.35{col 46}{space 3}0.000{col 54}{space 4}-8.642526{col 67}{space 3}-4.007389
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *Model 6

. logit midforce lgswid8 lglnmilex borders openness lgmunrest lgeunrest lggdp mft mft2 mft3 if polity2<6, nolog vce (cluster ccode)
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     1,502
{txt}{col 49}Wald chi2({res}10{txt}){col 67}= {res}    163.15
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-536.76241{txt}{col 49}Pseudo R2{col 67}= {res}    0.2209

{txt}{ralign 78:(Std. Err. adjusted for {res:100} clusters in ccode)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    midforce{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}lgswid8 {c |}{col 14}{res}{space 2} .0130105{col 26}{space 2} .0161937{col 37}{space 1}    0.80{col 46}{space 3}0.422{col 54}{space 4}-.0187286{col 67}{space 3} .0447495
{txt}{space 3}lglnmilex {c |}{col 14}{res}{space 2} .1525066{col 26}{space 2} .0636431{col 37}{space 1}    2.40{col 46}{space 3}0.017{col 54}{space 4} .0277685{col 67}{space 3} .2772448
{txt}{space 5}borders {c |}{col 14}{res}{space 2} .0156118{col 26}{space 2} .0374868{col 37}{space 1}    0.42{col 46}{space 3}0.677{col 54}{space 4}-.0578609{col 67}{space 3} .0890845
{txt}{space 4}openness {c |}{col 14}{res}{space 2}-.0085745{col 26}{space 2} .0028351{col 37}{space 1}   -3.02{col 46}{space 3}0.002{col 54}{space 4}-.0141311{col 67}{space 3}-.0030178
{txt}{space 3}lgmunrest {c |}{col 14}{res}{space 2}  .025655{col 26}{space 2} .0156416{col 37}{space 1}    1.64{col 46}{space 3}0.101{col 54}{space 4} -.005002{col 67}{space 3} .0563119
{txt}{space 3}lgeunrest {c |}{col 14}{res}{space 2}-.0226706{col 26}{space 2} .0470166{col 37}{space 1}   -0.48{col 46}{space 3}0.630{col 54}{space 4}-.1148214{col 67}{space 3} .0694803
{txt}{space 7}lggdp {c |}{col 14}{res}{space 2} .0025385{col 26}{space 2} .0156539{col 37}{space 1}    0.16{col 46}{space 3}0.871{col 54}{space 4}-.0281425{col 67}{space 3} .0332195
{txt}{space 9}mft {c |}{col 14}{res}{space 2}-.4913977{col 26}{space 2} .0661906{col 37}{space 1}   -7.42{col 46}{space 3}0.000{col 54}{space 4}-.6211289{col 67}{space 3}-.3616664
{txt}{space 8}mft2 {c |}{col 14}{res}{space 2} .0278726{col 26}{space 2} .0050926{col 37}{space 1}    5.47{col 46}{space 3}0.000{col 54}{space 4} .0178913{col 67}{space 3}  .037854
{txt}{space 8}mft3 {c |}{col 14}{res}{space 2}-.0004545{col 26}{space 2} .0001073{col 37}{space 1}   -4.24{col 46}{space 3}0.000{col 54}{space 4}-.0006647{col 67}{space 3}-.0002442
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-2.550593{col 26}{space 2} 1.183662{col 37}{space 1}   -2.15{col 46}{space 3}0.031{col 54}{space 4}-4.870528{col 67}{space 3}-.2306575
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *TABLE 2

. *Model 7

. firthlogit mid lgswid8 lglnmilex borders openness lgmunrest lgeunrest lggdp t t2 t3 if polity2>5
{res}
{txt}initial:{col 16}penalized log likelihood = {res:-1037.8036}
rescale:{col 16}penalized log likelihood = {res:-1037.8036}
{res}{txt}Iteration 0:{space 3}penalized log likelihood = {res:-1037.8036}  
Iteration 1:{space 3}penalized log likelihood = {res:-782.62001}  (not concave)
Iteration 2:{space 3}penalized log likelihood = {res:-749.78108}  
Iteration 3:{space 3}penalized log likelihood = {res:-745.20606}  
Iteration 4:{space 3}penalized log likelihood = {res:-740.46339}  
Iteration 5:{space 3}penalized log likelihood = {res:-740.22142}  
Iteration 6:{space 3}penalized log likelihood = {res:-740.22058}  
Iteration 7:{space 3}penalized log likelihood = {res:-740.22058}  
{res}
{txt}{col 49}Number of obs{col 67}= {res}     2,299
{txt}{col 49}Wald chi2({res}10{txt}){col 67}= {res}    393.86
{txt}Penalized log likelihood = {res}-740.22058{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}         mid{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}lgswid8 {c |}{col 14}{res}{space 2} .0209499{col 26}{space 2} .0082479{col 37}{space 1}    2.54{col 46}{space 3}0.011{col 54}{space 4} .0047843{col 67}{space 3} .0371155
{txt}{space 3}lglnmilex {c |}{col 14}{res}{space 2}  .305135{col 26}{space 2} .0393462{col 37}{space 1}    7.76{col 46}{space 3}0.000{col 54}{space 4} .2280179{col 67}{space 3} .3822522
{txt}{space 5}borders {c |}{col 14}{res}{space 2} .0223395{col 26}{space 2} .0246469{col 37}{space 1}    0.91{col 46}{space 3}0.365{col 54}{space 4}-.0259675{col 67}{space 3} .0706465
{txt}{space 4}openness {c |}{col 14}{res}{space 2}-.0009586{col 26}{space 2} .0020979{col 37}{space 1}   -0.46{col 46}{space 3}0.648{col 54}{space 4}-.0050704{col 67}{space 3} .0031533
{txt}{space 3}lgmunrest {c |}{col 14}{res}{space 2} .0024462{col 26}{space 2} .0135931{col 37}{space 1}    0.18{col 46}{space 3}0.857{col 54}{space 4}-.0241958{col 67}{space 3} .0290882
{txt}{space 3}lgeunrest {c |}{col 14}{res}{space 2} .1721375{col 26}{space 2} .1028186{col 37}{space 1}    1.67{col 46}{space 3}0.094{col 54}{space 4}-.0293833{col 67}{space 3} .3736583
{txt}{space 7}lggdp {c |}{col 14}{res}{space 2}-.0223718{col 26}{space 2} .0161957{col 37}{space 1}   -1.38{col 46}{space 3}0.167{col 54}{space 4}-.0541147{col 67}{space 3} .0093711
{txt}{space 11}t {c |}{col 14}{res}{space 2}-.5606233{col 26}{space 2} .0449437{col 37}{space 1}  -12.47{col 46}{space 3}0.000{col 54}{space 4}-.6487113{col 67}{space 3}-.4725352
{txt}{space 10}t2 {c |}{col 14}{res}{space 2} .0314048{col 26}{space 2} .0035111{col 37}{space 1}    8.94{col 46}{space 3}0.000{col 54}{space 4} .0245231{col 67}{space 3} .0382866
{txt}{space 10}t3 {c |}{col 14}{res}{space 2}-.0004802{col 26}{space 2} .0000692{col 37}{space 1}   -6.94{col 46}{space 3}0.000{col 54}{space 4}-.0006159{col 67}{space 3}-.0003446
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-5.388433{col 26}{space 2} .8389203{col 37}{space 1}   -6.42{col 46}{space 3}0.000{col 54}{space 4}-7.032686{col 67}{space 3}-3.744179
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *Model 8

. xtlogit mid lgswid8 lglnmilex borders openness lgmunrest lgeunrest  lggdp t t2 t3 if polity2>5, fe
{txt}note: multiple positive outcomes within groups encountered.
note: 44 groups (462 obs) dropped because of all positive or
      all negative outcomes.
note: borders omitted because of no within-group variance.
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-614.89504}  
Iteration 1:{space 3}log likelihood = {res:  -590.634}  
Iteration 2:{space 3}log likelihood = {res:-590.25652}  
Iteration 3:{space 3}log likelihood = {res:-590.25643}  
Iteration 4:{space 3}log likelihood = {res:-590.25643}  
{res}
{txt}Conditional fixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}     1,837
{txt}Group variable: {res}ccode{col 49}{txt}Number of groups{col 67}={col 69}{res}        69

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         3
{txt}{col 63}avg{col 67}={col 69}{res}      26.6
{txt}{col 63}max{col 67}={col 69}{res}        52

{txt}{col 49}LR chi2({res}9{txt}){col 67}={col 70}{res}   147.78
{txt}Log likelihood  = {res}-590.25643{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}         mid{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}lgswid8 {c |}{col 14}{res}{space 2} .0868436{col 26}{space 2} .0382609{col 37}{space 1}    2.27{col 46}{space 3}0.023{col 54}{space 4} .0118537{col 67}{space 3} .1618335
{txt}{space 3}lglnmilex {c |}{col 14}{res}{space 2} .1808821{col 26}{space 2} .1038116{col 37}{space 1}    1.74{col 46}{space 3}0.081{col 54}{space 4}-.0225849{col 67}{space 3} .3843491
{txt}{space 5}borders {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 4}openness {c |}{col 14}{res}{space 2}-.0117287{col 26}{space 2} .0059961{col 37}{space 1}   -1.96{col 46}{space 3}0.050{col 54}{space 4}-.0234809{col 67}{space 3} .0000235
{txt}{space 3}lgmunrest {c |}{col 14}{res}{space 2}-.0210608{col 26}{space 2} .0156466{col 37}{space 1}   -1.35{col 46}{space 3}0.178{col 54}{space 4}-.0517275{col 67}{space 3}  .009606
{txt}{space 3}lgeunrest {c |}{col 14}{res}{space 2} .0355593{col 26}{space 2} .1157151{col 37}{space 1}    0.31{col 46}{space 3}0.759{col 54}{space 4}-.1912381{col 67}{space 3} .2623568
{txt}{space 7}lggdp {c |}{col 14}{res}{space 2}-.0391652{col 26}{space 2} .0198671{col 37}{space 1}   -1.97{col 46}{space 3}0.049{col 54}{space 4} -.078104{col 67}{space 3}-.0002264
{txt}{space 11}t {c |}{col 14}{res}{space 2}-.4150257{col 26}{space 2} .0502164{col 37}{space 1}   -8.26{col 46}{space 3}0.000{col 54}{space 4} -.513448{col 67}{space 3}-.3166034
{txt}{space 10}t2 {c |}{col 14}{res}{space 2}  .024075{col 26}{space 2} .0042241{col 37}{space 1}    5.70{col 46}{space 3}0.000{col 54}{space 4}  .015796{col 67}{space 3} .0323541
{txt}{space 10}t3 {c |}{col 14}{res}{space 2} -.000307{col 26}{space 2} .0000873{col 37}{space 1}   -3.52{col 46}{space 3}0.000{col 54}{space 4}-.0004781{col 67}{space 3}-.0001359
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *Model 9

. xtlogit mid lgswid8 lglnmilex borders openness lgmunrest lgeunrest lggdp lgpolity2 lgswid8Xlgpolity2 t t2 t3, fe
{txt}note: multiple positive outcomes within groups encountered.
note: 46 groups (580 obs) dropped because of all positive or
      all negative outcomes.
note: borders omitted because of no within-group variance.
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1127.4715}  
Iteration 1:{space 3}log likelihood = {res:-1096.2869}  
Iteration 2:{space 3}log likelihood = {res:-1095.2882}  
Iteration 3:{space 3}log likelihood = {res: -1095.284}  
Iteration 4:{space 3}log likelihood = {res: -1095.284}  
{res}
{txt}Conditional fixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}     3,105
{txt}Group variable: {res}ccode{col 49}{txt}Number of groups{col 67}={col 69}{res}       105

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         4
{txt}{col 63}avg{col 67}={col 69}{res}      29.6
{txt}{col 63}max{col 67}={col 69}{res}        52

{txt}{col 49}LR chi2({res}11{txt}){col 67}={col 70}{res}   204.12
{txt}Log likelihood  = {res} -1095.284{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}              mid{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}lgswid8 {c |}{col 19}{res}{space 2} .0563805{col 31}{space 2} .0249639{col 42}{space 1}    2.26{col 51}{space 3}0.024{col 59}{space 4} .0074522{col 72}{space 3} .1053088
{txt}{space 8}lglnmilex {c |}{col 19}{res}{space 2} .1204927{col 31}{space 2} .0684495{col 42}{space 1}    1.76{col 51}{space 3}0.078{col 59}{space 4}-.0136658{col 72}{space 3} .2546512
{txt}{space 10}borders {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 9}openness {c |}{col 19}{res}{space 2}-.0046305{col 31}{space 2} .0034536{col 42}{space 1}   -1.34{col 51}{space 3}0.180{col 59}{space 4}-.0113995{col 72}{space 3} .0021384
{txt}{space 8}lgmunrest {c |}{col 19}{res}{space 2}-.0088725{col 31}{space 2} .0114221{col 42}{space 1}   -0.78{col 51}{space 3}0.437{col 59}{space 4}-.0312593{col 72}{space 3} .0135143
{txt}{space 8}lgeunrest {c |}{col 19}{res}{space 2} .0091102{col 31}{space 2} .0485824{col 42}{space 1}    0.19{col 51}{space 3}0.851{col 59}{space 4}-.0861095{col 72}{space 3} .1043299
{txt}{space 12}lggdp {c |}{col 19}{res}{space 2}-.0199047{col 31}{space 2}  .010632{col 42}{space 1}   -1.87{col 51}{space 3}0.061{col 59}{space 4}-.0407431{col 72}{space 3} .0009337
{txt}{space 8}lgpolity2 {c |}{col 19}{res}{space 2}-.0011414{col 31}{space 2} .0701769{col 42}{space 1}   -0.02{col 51}{space 3}0.987{col 59}{space 4}-.1386857{col 72}{space 3} .1364028
{txt}lgswid8Xlgpolity2 {c |}{col 19}{res}{space 2}-.0010862{col 31}{space 2} .0017289{col 42}{space 1}   -0.63{col 51}{space 3}0.530{col 59}{space 4}-.0044749{col 72}{space 3} .0023024
{txt}{space 16}t {c |}{col 19}{res}{space 2}-.3727449{col 31}{space 2} .0362515{col 42}{space 1}  -10.28{col 51}{space 3}0.000{col 59}{space 4}-.4437965{col 72}{space 3}-.3016934
{txt}{space 15}t2 {c |}{col 19}{res}{space 2} .0205546{col 31}{space 2} .0028669{col 42}{space 1}    7.17{col 51}{space 3}0.000{col 59}{space 4} .0149355{col 72}{space 3} .0261737
{txt}{space 15}t3 {c |}{col 19}{res}{space 2}-.0002532{col 31}{space 2} .0000572{col 42}{space 1}   -4.42{col 51}{space 3}0.000{col 59}{space 4}-.0003653{col 72}{space 3} -.000141
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *Model 10

. xtlogit mid lgswid8 lglnmilex borders openness lgmunrest lgeunrest lggdp lgpolity2 swidmu swideu t t2 t3, fe
{txt}note: multiple positive outcomes within groups encountered.
note: 33 groups (482 obs) dropped because of all positive or
      all negative outcomes.
note: borders omitted because of no within-group variance.
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1013.3468}  
Iteration 1:{space 3}log likelihood = {res:-981.93919}  
Iteration 2:{space 3}log likelihood = {res:-981.66579}  
Iteration 3:{space 3}log likelihood = {res:-981.66573}  
{res}
{txt}Conditional fixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}     2,743
{txt}Group variable: {res}ccode{col 49}{txt}Number of groups{col 67}={col 69}{res}       102

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         2
{txt}{col 63}avg{col 67}={col 69}{res}      26.9
{txt}{col 63}max{col 67}={col 69}{res}        52

{txt}{col 49}LR chi2({res}12{txt}){col 67}={col 70}{res}   176.38
{txt}Log likelihood  = {res}-981.66573{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}         mid{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}lgswid8 {c |}{col 14}{res}{space 2} .0574369{col 26}{space 2} .0276657{col 37}{space 1}    2.08{col 46}{space 3}0.038{col 54}{space 4} .0032132{col 67}{space 3} .1116606
{txt}{space 3}lglnmilex {c |}{col 14}{res}{space 2} .0714396{col 26}{space 2} .0761314{col 37}{space 1}    0.94{col 46}{space 3}0.348{col 54}{space 4}-.0777752{col 67}{space 3} .2206545
{txt}{space 5}borders {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 4}openness {c |}{col 14}{res}{space 2}-.0042741{col 26}{space 2} .0037326{col 37}{space 1}   -1.15{col 46}{space 3}0.252{col 54}{space 4}-.0115899{col 67}{space 3} .0030416
{txt}{space 3}lgmunrest {c |}{col 14}{res}{space 2}-.1469398{col 26}{space 2} .0593365{col 37}{space 1}   -2.48{col 46}{space 3}0.013{col 54}{space 4}-.2632372{col 67}{space 3}-.0306425
{txt}{space 3}lgeunrest {c |}{col 14}{res}{space 2} .2714289{col 26}{space 2} .4041211{col 37}{space 1}    0.67{col 46}{space 3}0.502{col 54}{space 4}-.5206339{col 67}{space 3} 1.063492
{txt}{space 7}lggdp {c |}{col 14}{res}{space 2}-.0210895{col 26}{space 2} .0112576{col 37}{space 1}   -1.87{col 46}{space 3}0.061{col 54}{space 4}-.0431539{col 67}{space 3} .0009749
{txt}{space 3}lgpolity2 {c |}{col 14}{res}{space 2}-.0284366{col 26}{space 2} .0161881{col 37}{space 1}   -1.76{col 46}{space 3}0.079{col 54}{space 4}-.0601648{col 67}{space 3} .0032915
{txt}{space 6}swidmu {c |}{col 14}{res}{space 2} .0034081{col 26}{space 2} .0014599{col 37}{space 1}    2.33{col 46}{space 3}0.020{col 54}{space 4} .0005467{col 67}{space 3} .0062695
{txt}{space 6}swideu {c |}{col 14}{res}{space 2}-.0060637{col 26}{space 2} .0109596{col 37}{space 1}   -0.55{col 46}{space 3}0.580{col 54}{space 4}-.0275442{col 67}{space 3} .0154167
{txt}{space 11}t {c |}{col 14}{res}{space 2}-.3659513{col 26}{space 2} .0390445{col 37}{space 1}   -9.37{col 46}{space 3}0.000{col 54}{space 4}-.4424771{col 67}{space 3}-.2894254
{txt}{space 10}t2 {c |}{col 14}{res}{space 2} .0204611{col 26}{space 2} .0031771{col 37}{space 1}    6.44{col 46}{space 3}0.000{col 54}{space 4} .0142342{col 67}{space 3}  .026688
{txt}{space 10}t3 {c |}{col 14}{res}{space 2}-.0002529{col 26}{space 2} .0000653{col 37}{space 1}   -3.87{col 46}{space 3}0.000{col 54}{space 4} -.000381{col 67}{space 3}-.0001248
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *FIGURE 1

. logit mid lgswid8 lglnmilex borders openness lgmunrest lgeunrest lggdp t t2 t3 if polity2>5, nolog vce (cluster ccode)
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     2,299
{txt}{col 49}Wald chi2({res}10{txt}){col 67}= {res}    276.24
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-793.53273{txt}{col 49}Pseudo R2{col 67}= {res}    0.2750

{txt}{ralign 78:(Std. Err. adjusted for {res:113} clusters in ccode)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}         mid{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}lgswid8 {c |}{col 14}{res}{space 2} .0209925{col 26}{space 2} .0092532{col 37}{space 1}    2.27{col 46}{space 3}0.023{col 54}{space 4} .0028566{col 67}{space 3} .0391284
{txt}{space 3}lglnmilex {c |}{col 14}{res}{space 2} .3071907{col 26}{space 2}  .048755{col 37}{space 1}    6.30{col 46}{space 3}0.000{col 54}{space 4} .2116327{col 67}{space 3} .4027486
{txt}{space 5}borders {c |}{col 14}{res}{space 2} .0224382{col 26}{space 2} .0326962{col 37}{space 1}    0.69{col 46}{space 3}0.493{col 54}{space 4}-.0416453{col 67}{space 3} .0865216
{txt}{space 4}openness {c |}{col 14}{res}{space 2} -.001015{col 26}{space 2} .0024595{col 37}{space 1}   -0.41{col 46}{space 3}0.680{col 54}{space 4}-.0058354{col 67}{space 3} .0038054
{txt}{space 3}lgmunrest {c |}{col 14}{res}{space 2} .0026029{col 26}{space 2} .0188786{col 37}{space 1}    0.14{col 46}{space 3}0.890{col 54}{space 4}-.0343986{col 67}{space 3} .0396043
{txt}{space 3}lgeunrest {c |}{col 14}{res}{space 2} .1703314{col 26}{space 2} .0886971{col 37}{space 1}    1.92{col 46}{space 3}0.055{col 54}{space 4}-.0035118{col 67}{space 3} .3441746
{txt}{space 7}lggdp {c |}{col 14}{res}{space 2}-.0223376{col 26}{space 2} .0196908{col 37}{space 1}   -1.13{col 46}{space 3}0.257{col 54}{space 4}-.0609309{col 67}{space 3} .0162557
{txt}{space 11}t {c |}{col 14}{res}{space 2}  -.56743{col 26}{space 2} .0514576{col 37}{space 1}  -11.03{col 46}{space 3}0.000{col 54}{space 4}-.6682849{col 67}{space 3} -.466575
{txt}{space 10}t2 {c |}{col 14}{res}{space 2} .0319413{col 26}{space 2} .0043779{col 37}{space 1}    7.30{col 46}{space 3}0.000{col 54}{space 4} .0233607{col 67}{space 3} .0405219
{txt}{space 10}t3 {c |}{col 14}{res}{space 2}-.0004917{col 26}{space 2} .0000914{col 37}{space 1}   -5.38{col 46}{space 3}0.000{col 54}{space 4}-.0006708{col 67}{space 3}-.0003126
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-5.415594{col 26}{space 2} .9978389{col 37}{space 1}   -5.43{col 46}{space 3}0.000{col 54}{space 4}-7.371322{col 67}{space 3}-3.459866
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins, at(lgswid8=(20 30 40 50 60)) atmeans vsquish
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     2,299
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(mid), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:lgswid8}{space 9}{txt:=} {space 9}20}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lglnmilex}{space 7}{txt:=} {space 3}13.74033 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:borders}{space 9}{txt:=} {space 4}3.31231 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:openness}{space 8}{txt:=} {space 3}73.99081 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lgmunrest}{space 7}{txt:=} {space 3}1.434102 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lgeunrest}{space 7}{txt:=} {space 3}.2214006 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lggdp}{space 11}{txt:=} {space 3}3.435319 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:t}{space 15}{txt:=} {space 3}10.55111 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:t2}{space 14}{txt:=} {space 3}261.5524 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:t3}{space 14}{txt:=} {space 3}8419.965 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:lgswid8}{space 9}{txt:=} {space 9}30}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lglnmilex}{space 7}{txt:=} {space 3}13.74033 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:borders}{space 9}{txt:=} {space 4}3.31231 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:openness}{space 8}{txt:=} {space 3}73.99081 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lgmunrest}{space 7}{txt:=} {space 3}1.434102 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lgeunrest}{space 7}{txt:=} {space 3}.2214006 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lggdp}{space 11}{txt:=} {space 3}3.435319 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:t}{space 15}{txt:=} {space 3}10.55111 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:t2}{space 14}{txt:=} {space 3}261.5524 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:t3}{space 14}{txt:=} {space 3}8419.965 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:lgswid8}{space 9}{txt:=} {space 9}40}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lglnmilex}{space 7}{txt:=} {space 3}13.74033 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:borders}{space 9}{txt:=} {space 4}3.31231 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:openness}{space 8}{txt:=} {space 3}73.99081 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lgmunrest}{space 7}{txt:=} {space 3}1.434102 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lgeunrest}{space 7}{txt:=} {space 3}.2214006 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lggdp}{space 11}{txt:=} {space 3}3.435319 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:t}{space 15}{txt:=} {space 3}10.55111 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:t2}{space 14}{txt:=} {space 3}261.5524 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:t3}{space 14}{txt:=} {space 3}8419.965 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:lgswid8}{space 9}{txt:=} {space 9}50}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lglnmilex}{space 7}{txt:=} {space 3}13.74033 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:borders}{space 9}{txt:=} {space 4}3.31231 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:openness}{space 8}{txt:=} {space 3}73.99081 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lgmunrest}{space 7}{txt:=} {space 3}1.434102 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lgeunrest}{space 7}{txt:=} {space 3}.2214006 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lggdp}{space 11}{txt:=} {space 3}3.435319 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:t}{space 15}{txt:=} {space 3}10.55111 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:t2}{space 14}{txt:=} {space 3}261.5524 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:t3}{space 14}{txt:=} {space 3}8419.965 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:lgswid8}{space 9}{txt:=} {space 9}60}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lglnmilex}{space 7}{txt:=} {space 3}13.74033 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:borders}{space 9}{txt:=} {space 4}3.31231 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:openness}{space 8}{txt:=} {space 3}73.99081 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lgmunrest}{space 7}{txt:=} {space 3}1.434102 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lgeunrest}{space 7}{txt:=} {space 3}.2214006 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lggdp}{space 11}{txt:=} {space 3}3.435319 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:t}{space 15}{txt:=} {space 3}10.55111 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:t2}{space 14}{txt:=} {space 3}261.5524 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:t3}{space 14}{txt:=} {space 3}8419.965 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}  .070186{col 26}{space 2} .0109115{col 37}{space 1}    6.43{col 46}{space 3}0.000{col 54}{space 4} .0487999{col 67}{space 3}  .091572
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0851839{col 26}{space 2} .0077579{col 37}{space 1}   10.98{col 46}{space 3}0.000{col 54}{space 4} .0699786{col 67}{space 3} .1003891
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .1030315{col 26}{space 2} .0087625{col 37}{space 1}   11.76{col 46}{space 3}0.000{col 54}{space 4} .0858573{col 67}{space 3} .1202057
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .1241112{col 26}{space 2} .0172546{col 37}{space 1}    7.19{col 46}{space 3}0.000{col 54}{space 4} .0902928{col 67}{space 3} .1579296
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .1487884{col 26}{space 2} .0306382{col 37}{space 1}    4.86{col 46}{space 3}0.000{col 54}{space 4} .0887385{col 67}{space 3} .2088382
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. marginsplot, yline (0) recast(line) recastci(rarea)
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: lgswid8{p_end}
{res}
{com}. 
. *FIGURE 2

. xtlogit mid lgswid8 polityquad IExpolityquad lglnmilex borders openness lgmunrest lgeunrest lggdp t t2 t3, fe
{txt}note: multiple positive outcomes within groups encountered.
note: 42 groups (576 obs) dropped because of all positive or
      all negative outcomes.
note: borders omitted because of no within-group variance.
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: -1126.368}  
Iteration 1:{space 3}log likelihood = {res:-1094.6528}  
Iteration 2:{space 3}log likelihood = {res:-1093.6575}  
Iteration 3:{space 3}log likelihood = {res:-1093.6529}  
Iteration 4:{space 3}log likelihood = {res:-1093.6529}  
{res}
{txt}Conditional fixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}     3,106
{txt}Group variable: {res}ccode{col 49}{txt}Number of groups{col 67}={col 69}{res}       105

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         4
{txt}{col 63}avg{col 67}={col 69}{res}      29.6
{txt}{col 63}max{col 67}={col 69}{res}        52

{txt}{col 49}LR chi2({res}11{txt}){col 67}={col 70}{res}   208.58
{txt}Log likelihood  = {res}-1093.6529{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          mid{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}lgswid8 {c |}{col 15}{res}{space 2} .0504244{col 27}{space 2} .0354835{col 38}{space 1}    1.42{col 47}{space 3}0.155{col 55}{space 4}-.0191219{col 68}{space 3} .1199708
{txt}{space 3}polityquad {c |}{col 15}{res}{space 2}-.3728088{col 27}{space 2}    .3816{col 38}{space 1}   -0.98{col 47}{space 3}0.329{col 55}{space 4}-1.120731{col 68}{space 3} .3751134
{txt}IExpolityquad {c |}{col 15}{res}{space 2}  .002445{col 27}{space 2} .0092658{col 38}{space 1}    0.26{col 47}{space 3}0.792{col 55}{space 4}-.0157156{col 68}{space 3} .0206056
{txt}{space 4}lglnmilex {c |}{col 15}{res}{space 2} .1296144{col 27}{space 2} .0679138{col 38}{space 1}    1.91{col 47}{space 3}0.056{col 55}{space 4}-.0034942{col 68}{space 3}  .262723
{txt}{space 6}borders {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 5}openness {c |}{col 15}{res}{space 2}-.0039844{col 27}{space 2} .0034718{col 38}{space 1}   -1.15{col 47}{space 3}0.251{col 55}{space 4}-.0107891{col 68}{space 3} .0028202
{txt}{space 4}lgmunrest {c |}{col 15}{res}{space 2}-.0062706{col 27}{space 2}  .011507{col 38}{space 1}   -0.54{col 47}{space 3}0.586{col 55}{space 4}-.0288239{col 68}{space 3} .0162827
{txt}{space 4}lgeunrest {c |}{col 15}{res}{space 2} .0186889{col 27}{space 2} .0461201{col 38}{space 1}    0.41{col 47}{space 3}0.685{col 55}{space 4}-.0717049{col 68}{space 3} .1090827
{txt}{space 8}lggdp {c |}{col 15}{res}{space 2}-.0211386{col 27}{space 2} .0106032{col 38}{space 1}   -1.99{col 47}{space 3}0.046{col 55}{space 4}-.0419206{col 68}{space 3}-.0003566
{txt}{space 12}t {c |}{col 15}{res}{space 2}-.3748856{col 27}{space 2} .0362239{col 38}{space 1}  -10.35{col 47}{space 3}0.000{col 55}{space 4}-.4458831{col 68}{space 3}-.3038881
{txt}{space 11}t2 {c |}{col 15}{res}{space 2} .0208459{col 27}{space 2} .0028656{col 38}{space 1}    7.27{col 47}{space 3}0.000{col 55}{space 4} .0152293{col 68}{space 3} .0264625
{txt}{space 11}t3 {c |}{col 15}{res}{space 2}-.0002599{col 27}{space 2} .0000572{col 38}{space 1}   -4.54{col 47}{space 3}0.000{col 55}{space 4} -.000372{col 68}{space 3}-.0001477
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins, dydx(lgswid8) at(polityquad==1) at(polityquad==2) at(polityquad==3) at(polityquad==4)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     3,106
{txt}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(mid|fixed effect is 0), predict(pu0)}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:lgswid8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:polityquad}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:polityquad}{space 6}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:polityquad}{space 6}{txt:=} {space 10}3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:polityquad}{space 6}{txt:=} {space 10}4}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}lgswid8      {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0044678{col 26}{space 2}  .003009{col 37}{space 1}    1.48{col 46}{space 3}0.138{col 54}{space 4}-.0014296{col 67}{space 3} .0103653
{txt}{space 10}2  {c |}{col 14}{res}{space 2}  .005615{col 26}{space 2} .0029249{col 37}{space 1}    1.92{col 46}{space 3}0.055{col 54}{space 4}-.0001178{col 67}{space 3} .0113477
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0068211{col 26}{space 2} .0029252{col 37}{space 1}    2.33{col 46}{space 3}0.020{col 54}{space 4} .0010877{col 67}{space 3} .0125544
{txt}{space 10}4  {c |}{col 14}{res}{space 2}   .00799{col 26}{space 2} .0030151{col 37}{space 1}    2.65{col 46}{space 3}0.008{col 54}{space 4} .0020806{col 67}{space 3} .0138995
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. marginsplot, yline (0)
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: _atopt{p_end}
{text}  Multiple at() options specified:
{text}{p 6 10 2}_atoption=1: polityquad==1{p_end}
{text}{p 6 10 2}_atoption=2: polityquad==2{p_end}
{text}{p 6 10 2}_atoption=3: polityquad==3{p_end}
{text}{p 6 10 2}_atoption=4: polityquad==4{p_end}
{res}
{com}. 
. *FIGURE 3

. xtlogit mid lgswid8 lgmunrest swidmu lgeunrest swideu lglnmilex borders openness lgpolity2 lggdp t t2 t3, fe
{txt}note: multiple positive outcomes within groups encountered.
note: 33 groups (482 obs) dropped because of all positive or
      all negative outcomes.
note: borders omitted because of no within-group variance.
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1013.3468}  
Iteration 1:{space 3}log likelihood = {res:-981.93919}  
Iteration 2:{space 3}log likelihood = {res:-981.66579}  
Iteration 3:{space 3}log likelihood = {res:-981.66573}  
{res}
{txt}Conditional fixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}     2,743
{txt}Group variable: {res}ccode{col 49}{txt}Number of groups{col 67}={col 69}{res}       102

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         2
{txt}{col 63}avg{col 67}={col 69}{res}      26.9
{txt}{col 63}max{col 67}={col 69}{res}        52

{txt}{col 49}LR chi2({res}12{txt}){col 67}={col 70}{res}   176.38
{txt}Log likelihood  = {res}-981.66573{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}         mid{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}lgswid8 {c |}{col 14}{res}{space 2} .0574369{col 26}{space 2} .0276657{col 37}{space 1}    2.08{col 46}{space 3}0.038{col 54}{space 4} .0032132{col 67}{space 3} .1116606
{txt}{space 3}lgmunrest {c |}{col 14}{res}{space 2}-.1469398{col 26}{space 2} .0593365{col 37}{space 1}   -2.48{col 46}{space 3}0.013{col 54}{space 4}-.2632372{col 67}{space 3}-.0306425
{txt}{space 6}swidmu {c |}{col 14}{res}{space 2} .0034081{col 26}{space 2} .0014599{col 37}{space 1}    2.33{col 46}{space 3}0.020{col 54}{space 4} .0005467{col 67}{space 3} .0062695
{txt}{space 3}lgeunrest {c |}{col 14}{res}{space 2} .2714289{col 26}{space 2} .4041211{col 37}{space 1}    0.67{col 46}{space 3}0.502{col 54}{space 4}-.5206339{col 67}{space 3} 1.063492
{txt}{space 6}swideu {c |}{col 14}{res}{space 2}-.0060637{col 26}{space 2} .0109596{col 37}{space 1}   -0.55{col 46}{space 3}0.580{col 54}{space 4}-.0275442{col 67}{space 3} .0154167
{txt}{space 3}lglnmilex {c |}{col 14}{res}{space 2} .0714396{col 26}{space 2} .0761314{col 37}{space 1}    0.94{col 46}{space 3}0.348{col 54}{space 4}-.0777752{col 67}{space 3} .2206545
{txt}{space 5}borders {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 4}openness {c |}{col 14}{res}{space 2}-.0042741{col 26}{space 2} .0037326{col 37}{space 1}   -1.15{col 46}{space 3}0.252{col 54}{space 4}-.0115899{col 67}{space 3} .0030416
{txt}{space 3}lgpolity2 {c |}{col 14}{res}{space 2}-.0284366{col 26}{space 2} .0161881{col 37}{space 1}   -1.76{col 46}{space 3}0.079{col 54}{space 4}-.0601648{col 67}{space 3} .0032915
{txt}{space 7}lggdp {c |}{col 14}{res}{space 2}-.0210895{col 26}{space 2} .0112576{col 37}{space 1}   -1.87{col 46}{space 3}0.061{col 54}{space 4}-.0431539{col 67}{space 3} .0009749
{txt}{space 11}t {c |}{col 14}{res}{space 2}-.3659513{col 26}{space 2} .0390445{col 37}{space 1}   -9.37{col 46}{space 3}0.000{col 54}{space 4}-.4424771{col 67}{space 3}-.2894254
{txt}{space 10}t2 {c |}{col 14}{res}{space 2} .0204611{col 26}{space 2} .0031771{col 37}{space 1}    6.44{col 46}{space 3}0.000{col 54}{space 4} .0142342{col 67}{space 3}  .026688
{txt}{space 10}t3 {c |}{col 14}{res}{space 2}-.0002529{col 26}{space 2} .0000653{col 37}{space 1}   -3.87{col 46}{space 3}0.000{col 54}{space 4} -.000381{col 67}{space 3}-.0001248
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins, dydx(lgswid8) at(lgmunrest=(0(5)80)) vsquish
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     2,743
{txt}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(mid|fixed effect is 0), predict(pu0)}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:lgswid8}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:lgmunrest}{space 7}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:lgmunrest}{space 7}{txt:=} {space 10}5}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:lgmunrest}{space 7}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:lgmunrest}{space 7}{txt:=} {space 9}15}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:lgmunrest}{space 7}{txt:=} {space 9}20}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:lgmunrest}{space 7}{txt:=} {space 9}25}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:lgmunrest}{space 7}{txt:=} {space 9}30}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:lgmunrest}{space 7}{txt:=} {space 9}35}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:lgmunrest}{space 7}{txt:=} {space 9}40}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:lgmunrest}{space 7}{txt:=} {space 9}45}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:lgmunrest}{space 7}{txt:=} {space 9}50}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:12._at}:{space 1}{res:{txt:lgmunrest}{space 7}{txt:=} {space 9}55}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:13._at}:{space 1}{res:{txt:lgmunrest}{space 7}{txt:=} {space 9}60}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:14._at}:{space 1}{res:{txt:lgmunrest}{space 7}{txt:=} {space 9}65}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:15._at}:{space 1}{res:{txt:lgmunrest}{space 7}{txt:=} {space 9}70}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:16._at}:{space 1}{res:{txt:lgmunrest}{space 7}{txt:=} {space 9}75}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:17._at}:{space 1}{res:{txt:lgmunrest}{space 7}{txt:=} {space 9}80}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}lgswid8      {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0065393{col 26}{space 2} .0033611{col 37}{space 1}    1.95{col 46}{space 3}0.052{col 54}{space 4}-.0000484{col 67}{space 3}  .013127
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0089382{col 26}{space 2} .0033687{col 37}{space 1}    2.65{col 46}{space 3}0.008{col 54}{space 4} .0023356{col 67}{space 3} .0155408
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0106888{col 26}{space 2} .0037013{col 37}{space 1}    2.89{col 46}{space 3}0.004{col 54}{space 4} .0034343{col 67}{space 3} .0179432
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0111501{col 26}{space 2} .0054865{col 37}{space 1}    2.03{col 46}{space 3}0.042{col 54}{space 4} .0003968{col 67}{space 3} .0219034
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .0101091{col 26}{space 2} .0080359{col 37}{space 1}    1.26{col 46}{space 3}0.208{col 54}{space 4}-.0056409{col 67}{space 3} .0258591
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .0079617{col 26}{space 2} .0095792{col 37}{space 1}    0.83{col 46}{space 3}0.406{col 54}{space 4}-.0108132{col 67}{space 3} .0267366
{txt}{space 10}7  {c |}{col 14}{res}{space 2}  .005508{col 26}{space 2} .0091045{col 37}{space 1}    0.60{col 46}{space 3}0.545{col 54}{space 4}-.0123364{col 67}{space 3} .0233524
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .0034368{col 26}{space 2} .0071268{col 37}{space 1}    0.48{col 46}{space 3}0.630{col 54}{space 4}-.0105314{col 67}{space 3}  .017405
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .0020043{col 26}{space 2} .0048395{col 37}{space 1}    0.41{col 46}{space 3}0.679{col 54}{space 4}-.0074809{col 67}{space 3} .0114895
{txt}{space 9}10  {c |}{col 14}{res}{space 2} .0011296{col 26}{space 2} .0030071{col 37}{space 1}    0.38{col 46}{space 3}0.707{col 54}{space 4}-.0047641{col 67}{space 3} .0070234
{txt}{space 9}11  {c |}{col 14}{res}{space 2} .0006297{col 26}{space 2} .0017824{col 37}{space 1}    0.35{col 46}{space 3}0.724{col 54}{space 4}-.0028637{col 67}{space 3} .0041232
{txt}{space 9}12  {c |}{col 14}{res}{space 2}  .000352{col 26}{space 2} .0010351{col 37}{space 1}    0.34{col 46}{space 3}0.734{col 54}{space 4}-.0016767{col 67}{space 3} .0023807
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .0001983{col 26}{space 2} .0006007{col 37}{space 1}    0.33{col 46}{space 3}0.741{col 54}{space 4}-.0009791{col 67}{space 3} .0013757
{txt}{space 9}14  {c |}{col 14}{res}{space 2} .0001122{col 26}{space 2}   .00035{col 37}{space 1}    0.32{col 46}{space 3}0.748{col 54}{space 4}-.0005738{col 67}{space 3} .0007982
{txt}{space 9}15  {c |}{col 14}{res}{space 2} .0000636{col 26}{space 2} .0002028{col 37}{space 1}    0.31{col 46}{space 3}0.754{col 54}{space 4}-.0003339{col 67}{space 3} .0004611
{txt}{space 9}16  {c |}{col 14}{res}{space 2} .0000361{col 26}{space 2} .0001164{col 37}{space 1}    0.31{col 46}{space 3}0.756{col 54}{space 4}-.0001919{col 67}{space 3} .0002642
{txt}{space 9}17  {c |}{col 14}{res}{space 2}  .000021{col 26}{space 2} .0000651{col 37}{space 1}    0.32{col 46}{space 3}0.747{col 54}{space 4}-.0001065{col 67}{space 3} .0001485
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. marginsplot, yline (0)
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: lgmunrest{p_end}
{res}
{com}. 
. *FIGURE 4

. xtlogit mid lgswid8 lgmunrest swidmu lgeunrest swideu lglnmilex borders openness lgpolity2 lggdp t t2 t3, fe
{txt}note: multiple positive outcomes within groups encountered.
note: 33 groups (482 obs) dropped because of all positive or
      all negative outcomes.
note: borders omitted because of no within-group variance.
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1013.3468}  
Iteration 1:{space 3}log likelihood = {res:-981.93919}  
Iteration 2:{space 3}log likelihood = {res:-981.66579}  
Iteration 3:{space 3}log likelihood = {res:-981.66573}  
{res}
{txt}Conditional fixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}     2,743
{txt}Group variable: {res}ccode{col 49}{txt}Number of groups{col 67}={col 69}{res}       102

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         2
{txt}{col 63}avg{col 67}={col 69}{res}      26.9
{txt}{col 63}max{col 67}={col 69}{res}        52

{txt}{col 49}LR chi2({res}12{txt}){col 67}={col 70}{res}   176.38
{txt}Log likelihood  = {res}-981.66573{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}         mid{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}lgswid8 {c |}{col 14}{res}{space 2} .0574369{col 26}{space 2} .0276657{col 37}{space 1}    2.08{col 46}{space 3}0.038{col 54}{space 4} .0032132{col 67}{space 3} .1116606
{txt}{space 3}lgmunrest {c |}{col 14}{res}{space 2}-.1469398{col 26}{space 2} .0593365{col 37}{space 1}   -2.48{col 46}{space 3}0.013{col 54}{space 4}-.2632372{col 67}{space 3}-.0306425
{txt}{space 6}swidmu {c |}{col 14}{res}{space 2} .0034081{col 26}{space 2} .0014599{col 37}{space 1}    2.33{col 46}{space 3}0.020{col 54}{space 4} .0005467{col 67}{space 3} .0062695
{txt}{space 3}lgeunrest {c |}{col 14}{res}{space 2} .2714289{col 26}{space 2} .4041211{col 37}{space 1}    0.67{col 46}{space 3}0.502{col 54}{space 4}-.5206339{col 67}{space 3} 1.063492
{txt}{space 6}swideu {c |}{col 14}{res}{space 2}-.0060637{col 26}{space 2} .0109596{col 37}{space 1}   -0.55{col 46}{space 3}0.580{col 54}{space 4}-.0275442{col 67}{space 3} .0154167
{txt}{space 3}lglnmilex {c |}{col 14}{res}{space 2} .0714396{col 26}{space 2} .0761314{col 37}{space 1}    0.94{col 46}{space 3}0.348{col 54}{space 4}-.0777752{col 67}{space 3} .2206545
{txt}{space 5}borders {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 4}openness {c |}{col 14}{res}{space 2}-.0042741{col 26}{space 2} .0037326{col 37}{space 1}   -1.15{col 46}{space 3}0.252{col 54}{space 4}-.0115899{col 67}{space 3} .0030416
{txt}{space 3}lgpolity2 {c |}{col 14}{res}{space 2}-.0284366{col 26}{space 2} .0161881{col 37}{space 1}   -1.76{col 46}{space 3}0.079{col 54}{space 4}-.0601648{col 67}{space 3} .0032915
{txt}{space 7}lggdp {c |}{col 14}{res}{space 2}-.0210895{col 26}{space 2} .0112576{col 37}{space 1}   -1.87{col 46}{space 3}0.061{col 54}{space 4}-.0431539{col 67}{space 3} .0009749
{txt}{space 11}t {c |}{col 14}{res}{space 2}-.3659513{col 26}{space 2} .0390445{col 37}{space 1}   -9.37{col 46}{space 3}0.000{col 54}{space 4}-.4424771{col 67}{space 3}-.2894254
{txt}{space 10}t2 {c |}{col 14}{res}{space 2} .0204611{col 26}{space 2} .0031771{col 37}{space 1}    6.44{col 46}{space 3}0.000{col 54}{space 4} .0142342{col 67}{space 3}  .026688
{txt}{space 10}t3 {c |}{col 14}{res}{space 2}-.0002529{col 26}{space 2} .0000653{col 37}{space 1}   -3.87{col 46}{space 3}0.000{col 54}{space 4} -.000381{col 67}{space 3}-.0001248
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins, dydx(lgswid8) at(lgeunrest=(0(2)35)) vsquish
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     2,743
{txt}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(mid|fixed effect is 0), predict(pu0)}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:lgswid8}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:lgeunrest}{space 7}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:lgeunrest}{space 7}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:lgeunrest}{space 7}{txt:=} {space 10}4}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:lgeunrest}{space 7}{txt:=} {space 10}6}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:lgeunrest}{space 7}{txt:=} {space 10}8}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:lgeunrest}{space 7}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:lgeunrest}{space 7}{txt:=} {space 9}12}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:lgeunrest}{space 7}{txt:=} {space 9}14}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:lgeunrest}{space 7}{txt:=} {space 9}16}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:lgeunrest}{space 7}{txt:=} {space 9}18}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:lgeunrest}{space 7}{txt:=} {space 9}20}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:12._at}:{space 1}{res:{txt:lgeunrest}{space 7}{txt:=} {space 9}22}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:13._at}:{space 1}{res:{txt:lgeunrest}{space 7}{txt:=} {space 9}24}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:14._at}:{space 1}{res:{txt:lgeunrest}{space 7}{txt:=} {space 9}26}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:15._at}:{space 1}{res:{txt:lgeunrest}{space 7}{txt:=} {space 9}28}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:16._at}:{space 1}{res:{txt:lgeunrest}{space 7}{txt:=} {space 9}30}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:17._at}:{space 1}{res:{txt:lgeunrest}{space 7}{txt:=} {space 9}32}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:18._at}:{space 1}{res:{txt:lgeunrest}{space 7}{txt:=} {space 9}34}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}lgswid8      {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0074638{col 26}{space 2} .0036107{col 37}{space 1}    2.07{col 46}{space 3}0.039{col 54}{space 4} .0003869{col 67}{space 3} .0145407
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0055495{col 26}{space 2} .0042925{col 37}{space 1}    1.29{col 46}{space 3}0.196{col 54}{space 4}-.0028637{col 67}{space 3} .0139626
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0038602{col 26}{space 2} .0052606{col 37}{space 1}    0.73{col 46}{space 3}0.463{col 54}{space 4}-.0064504{col 67}{space 3} .0141708
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0025402{col 26}{space 2}  .005387{col 37}{space 1}    0.47{col 46}{space 3}0.637{col 54}{space 4} -.008018{col 67}{space 3} .0130985
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .0016022{col 26}{space 2} .0047451{col 37}{space 1}    0.34{col 46}{space 3}0.736{col 54}{space 4} -.007698{col 67}{space 3} .0109024
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .0009807{col 26}{space 2} .0037586{col 37}{space 1}    0.26{col 46}{space 3}0.794{col 54}{space 4} -.006386{col 67}{space 3} .0083474
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0005885{col 26}{space 2} .0027684{col 37}{space 1}    0.21{col 46}{space 3}0.832{col 54}{space 4}-.0048374{col 67}{space 3} .0060144
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .0003489{col 26}{space 2} .0019406{col 37}{space 1}    0.18{col 46}{space 3}0.857{col 54}{space 4}-.0034547{col 67}{space 3} .0041524
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .0002055{col 26}{space 2} .0013156{col 37}{space 1}    0.16{col 46}{space 3}0.876{col 54}{space 4} -.002373{col 67}{space 3} .0027841
{txt}{space 9}10  {c |}{col 14}{res}{space 2}  .000121{col 26}{space 2} .0008726{col 37}{space 1}    0.14{col 46}{space 3}0.890{col 54}{space 4}-.0015893{col 67}{space 3} .0018314
{txt}{space 9}11  {c |}{col 14}{res}{space 2}  .000072{col 26}{space 2} .0005726{col 37}{space 1}    0.13{col 46}{space 3}0.900{col 54}{space 4}-.0010502{col 67}{space 3} .0011943
{txt}{space 9}12  {c |}{col 14}{res}{space 2} .0000445{col 26}{space 2} .0003781{col 37}{space 1}    0.12{col 46}{space 3}0.906{col 54}{space 4}-.0006967{col 67}{space 3} .0007856
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .0000274{col 26}{space 2} .0002474{col 37}{space 1}    0.11{col 46}{space 3}0.912{col 54}{space 4}-.0004575{col 67}{space 3} .0005123
{txt}{space 9}14  {c |}{col 14}{res}{space 2} .0000157{col 26}{space 2} .0001547{col 37}{space 1}    0.10{col 46}{space 3}0.919{col 54}{space 4}-.0002875{col 67}{space 3} .0003189
{txt}{space 9}15  {c |}{col 14}{res}{space 2} 8.27e-06{col 26}{space 2} .0000921{col 37}{space 1}    0.09{col 46}{space 3}0.928{col 54}{space 4}-.0001723{col 67}{space 3} .0001889
{txt}{space 9}16  {c |}{col 14}{res}{space 2} 4.68e-06{col 26}{space 2} .0000566{col 37}{space 1}    0.08{col 46}{space 3}0.934{col 54}{space 4}-.0001063{col 67}{space 3} .0001157
{txt}{space 9}17  {c |}{col 14}{res}{space 2} 2.73e-06{col 26}{space 2} .0000352{col 37}{space 1}    0.08{col 46}{space 3}0.938{col 54}{space 4}-.0000662{col 67}{space 3} .0000716
{txt}{space 9}18  {c |}{col 14}{res}{space 2} 6.24e-06{col 26}{space 2} .0000475{col 37}{space 1}    0.13{col 46}{space 3}0.896{col 54}{space 4} -.000087{col 67}{space 3} .0000994
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. marginsplot, yline (0)
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: lgeunrest{p_end}
{res}
{com}. 
. *FIGURE 5

. xtlogit mid lgswid8 lgswid8xlggdp lglnmilex borders openness lgmunrest lgeunrest lggdp t t2 t3, fe
{txt}note: multiple positive outcomes within groups encountered.
note: 52 groups (619 obs) dropped because of all positive or
      all negative outcomes.
note: borders omitted because of no within-group variance.
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1162.5379}  
Iteration 1:{space 3}log likelihood = {res:-1127.1637}  
Iteration 2:{space 3}log likelihood = {res:-1126.0258}  
Iteration 3:{space 3}log likelihood = {res:-1126.0221}  
Iteration 4:{space 3}log likelihood = {res:-1126.0221}  
{res}
{txt}Conditional fixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}     3,182
{txt}Group variable: {res}ccode{col 49}{txt}Number of groups{col 67}={col 69}{res}       108

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         4
{txt}{col 63}avg{col 67}={col 69}{res}      29.5
{txt}{col 63}max{col 67}={col 69}{res}        52

{txt}{col 49}LR chi2({res}10{txt}){col 67}={col 70}{res}   198.10
{txt}Log likelihood  = {res}-1126.0221{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          mid{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}lgswid8 {c |}{col 15}{res}{space 2} .0595627{col 27}{space 2} .0247768{col 38}{space 1}    2.40{col 47}{space 3}0.016{col 55}{space 4} .0110012{col 68}{space 3} .1081243
{txt}lgswid8xlggdp {c |}{col 15}{res}{space 2}-.0012548{col 27}{space 2} .0014846{col 38}{space 1}   -0.85{col 47}{space 3}0.398{col 55}{space 4}-.0041645{col 68}{space 3}  .001655
{txt}{space 4}lglnmilex {c |}{col 15}{res}{space 2} .0515805{col 27}{space 2} .0637441{col 38}{space 1}    0.81{col 47}{space 3}0.418{col 55}{space 4}-.0733556{col 68}{space 3} .1765166
{txt}{space 6}borders {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 5}openness {c |}{col 15}{res}{space 2}-.0060764{col 27}{space 2} .0033676{col 38}{space 1}   -1.80{col 47}{space 3}0.071{col 55}{space 4}-.0126768{col 68}{space 3} .0005241
{txt}{space 4}lgmunrest {c |}{col 15}{res}{space 2}-.0091648{col 27}{space 2} .0111633{col 38}{space 1}   -0.82{col 47}{space 3}0.412{col 55}{space 4}-.0310445{col 68}{space 3} .0127149
{txt}{space 4}lgeunrest {c |}{col 15}{res}{space 2} .0324673{col 27}{space 2} .0459398{col 38}{space 1}    0.71{col 47}{space 3}0.480{col 55}{space 4}-.0575729{col 68}{space 3} .1225076
{txt}{space 8}lggdp {c |}{col 15}{res}{space 2} .0291754{col 27}{space 2} .0576344{col 38}{space 1}    0.51{col 47}{space 3}0.613{col 55}{space 4}-.0837859{col 68}{space 3} .1421367
{txt}{space 12}t {c |}{col 15}{res}{space 2}-.3802645{col 27}{space 2} .0358023{col 38}{space 1}  -10.62{col 47}{space 3}0.000{col 55}{space 4}-.4504357{col 68}{space 3}-.3100933
{txt}{space 11}t2 {c |}{col 15}{res}{space 2} .0210235{col 27}{space 2} .0028507{col 38}{space 1}    7.37{col 47}{space 3}0.000{col 55}{space 4} .0154363{col 68}{space 3} .0266107
{txt}{space 11}t3 {c |}{col 15}{res}{space 2}-.0002603{col 27}{space 2} .0000574{col 38}{space 1}   -4.53{col 47}{space 3}0.000{col 55}{space 4}-.0003728{col 68}{space 3}-.0001478
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins, dydx(lgswid8) at(lggdp=(-65(10)150)) vsquish
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     3,182
{txt}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(mid|fixed effect is 0), predict(pu0)}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:lgswid8}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:lggdp}{space 11}{txt:=} {space 8}-65}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:lggdp}{space 11}{txt:=} {space 8}-55}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:lggdp}{space 11}{txt:=} {space 8}-45}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:lggdp}{space 11}{txt:=} {space 8}-35}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:lggdp}{space 11}{txt:=} {space 8}-25}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:lggdp}{space 11}{txt:=} {space 8}-15}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:lggdp}{space 11}{txt:=} {space 9}-5}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:lggdp}{space 11}{txt:=} {space 10}5}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:lggdp}{space 11}{txt:=} {space 9}15}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:lggdp}{space 11}{txt:=} {space 9}25}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:lggdp}{space 11}{txt:=} {space 9}35}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:12._at}:{space 1}{res:{txt:lggdp}{space 11}{txt:=} {space 9}45}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:13._at}:{space 1}{res:{txt:lggdp}{space 11}{txt:=} {space 9}55}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:14._at}:{space 1}{res:{txt:lggdp}{space 11}{txt:=} {space 9}65}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:15._at}:{space 1}{res:{txt:lggdp}{space 11}{txt:=} {space 9}75}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:16._at}:{space 1}{res:{txt:lggdp}{space 11}{txt:=} {space 9}85}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:17._at}:{space 1}{res:{txt:lggdp}{space 11}{txt:=} {space 9}95}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:18._at}:{space 1}{res:{txt:lggdp}{space 11}{txt:=} {space 8}105}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:19._at}:{space 1}{res:{txt:lggdp}{space 11}{txt:=} {space 8}115}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:20._at}:{space 1}{res:{txt:lggdp}{space 11}{txt:=} {space 8}125}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:21._at}:{space 1}{res:{txt:lggdp}{space 11}{txt:=} {space 8}135}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:22._at}:{space 1}{res:{txt:lggdp}{space 11}{txt:=} {space 8}145}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}lgswid8      {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}  .011959{col 26}{space 2} .0062976{col 37}{space 1}    1.90{col 46}{space 3}0.058{col 54}{space 4}-.0003841{col 67}{space 3}  .024302
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0121262{col 26}{space 2} .0047393{col 37}{space 1}    2.56{col 46}{space 3}0.011{col 54}{space 4} .0028372{col 67}{space 3} .0214151
{txt}{space 10}3  {c |}{col 14}{res}{space 2}  .012005{col 26}{space 2} .0051209{col 37}{space 1}    2.34{col 46}{space 3}0.019{col 54}{space 4} .0019683{col 67}{space 3} .0220417
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0116074{col 26}{space 2}  .005671{col 37}{space 1}    2.05{col 46}{space 3}0.041{col 54}{space 4} .0004925{col 67}{space 3} .0227223
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .0109634{col 26}{space 2} .0055269{col 37}{space 1}    1.98{col 46}{space 3}0.047{col 54}{space 4}  .000131{col 67}{space 3} .0217959
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .0101181{col 26}{space 2} .0046714{col 37}{space 1}    2.17{col 46}{space 3}0.030{col 54}{space 4} .0009624{col 67}{space 3} .0192738
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0091268{col 26}{space 2} .0035545{col 37}{space 1}    2.57{col 46}{space 3}0.010{col 54}{space 4} .0021601{col 67}{space 3} .0160936
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .0080502{col 26}{space 2} .0031563{col 37}{space 1}    2.55{col 46}{space 3}0.011{col 54}{space 4}  .001864{col 67}{space 3} .0142365
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .0069483{col 26}{space 2}  .004079{col 37}{space 1}    1.70{col 46}{space 3}0.088{col 54}{space 4}-.0010464{col 67}{space 3} .0149431
{txt}{space 9}10  {c |}{col 14}{res}{space 2} .0058749{col 26}{space 2} .0055041{col 37}{space 1}    1.07{col 46}{space 3}0.286{col 54}{space 4}-.0049129{col 67}{space 3} .0166627
{txt}{space 9}11  {c |}{col 14}{res}{space 2} .0048729{col 26}{space 2} .0067428{col 37}{space 1}    0.72{col 46}{space 3}0.470{col 54}{space 4}-.0083428{col 67}{space 3} .0180886
{txt}{space 9}12  {c |}{col 14}{res}{space 2} .0039717{col 26}{space 2} .0075399{col 37}{space 1}    0.53{col 46}{space 3}0.598{col 54}{space 4}-.0108062{col 67}{space 3} .0187496
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .0031874{col 26}{space 2} .0078474{col 37}{space 1}    0.41{col 46}{space 3}0.685{col 54}{space 4}-.0121932{col 67}{space 3} .0185679
{txt}{space 9}14  {c |}{col 14}{res}{space 2} .0025236{col 26}{space 2} .0077221{col 37}{space 1}    0.33{col 46}{space 3}0.744{col 54}{space 4}-.0126115{col 67}{space 3} .0176587
{txt}{space 9}15  {c |}{col 14}{res}{space 2} .0019753{col 26}{space 2} .0072693{col 37}{space 1}    0.27{col 46}{space 3}0.786{col 54}{space 4}-.0122723{col 67}{space 3} .0162228
{txt}{space 9}16  {c |}{col 14}{res}{space 2} .0015313{col 26}{space 2} .0066047{col 37}{space 1}    0.23{col 46}{space 3}0.817{col 54}{space 4}-.0114137{col 67}{space 3} .0144762
{txt}{space 9}17  {c |}{col 14}{res}{space 2} .0011778{col 26}{space 2} .0058319{col 37}{space 1}    0.20{col 46}{space 3}0.840{col 54}{space 4}-.0102526{col 67}{space 3} .0126081
{txt}{space 9}18  {c |}{col 14}{res}{space 2} .0009001{col 26}{space 2}  .005032{col 37}{space 1}    0.18{col 46}{space 3}0.858{col 54}{space 4}-.0089624{col 67}{space 3} .0107625
{txt}{space 9}19  {c |}{col 14}{res}{space 2} .0006844{col 26}{space 2}  .004261{col 37}{space 1}    0.16{col 46}{space 3}0.872{col 54}{space 4} -.007667{col 67}{space 3} .0090357
{txt}{space 9}20  {c |}{col 14}{res}{space 2} .0005183{col 26}{space 2} .0035534{col 37}{space 1}    0.15{col 46}{space 3}0.884{col 54}{space 4}-.0064462{col 67}{space 3} .0074829
{txt}{space 9}21  {c |}{col 14}{res}{space 2} .0003914{col 26}{space 2} .0029267{col 37}{space 1}    0.13{col 46}{space 3}0.894{col 54}{space 4}-.0053448{col 67}{space 3} .0061275
{txt}{space 9}22  {c |}{col 14}{res}{space 2} .0002949{col 26}{space 2} .0023862{col 37}{space 1}    0.12{col 46}{space 3}0.902{col 54}{space 4}-.0043819{col 67}{space 3} .0049717
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. marginsplot, yline (0)
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: lggdp{p_end}
{res}
{com}. 
. *FIGURE 6

. xtlogit mid lgswid8 lgswid8xlglnmilex lglnmilex borders openness lgmunrest lgeunrest lggdp t t2 t3, fe
{txt}note: multiple positive outcomes within groups encountered.
note: 52 groups (619 obs) dropped because of all positive or
      all negative outcomes.
note: borders omitted because of no within-group variance.
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1162.7505}  
Iteration 1:{space 3}log likelihood = {res:-1127.5194}  
Iteration 2:{space 3}log likelihood = {res:-1126.3815}  
Iteration 3:{space 3}log likelihood = {res:-1126.3779}  
Iteration 4:{space 3}log likelihood = {res:-1126.3779}  
{res}
{txt}Conditional fixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}     3,182
{txt}Group variable: {res}ccode{col 49}{txt}Number of groups{col 67}={col 69}{res}       108

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         4
{txt}{col 63}avg{col 67}={col 69}{res}      29.5
{txt}{col 63}max{col 67}={col 69}{res}        52

{txt}{col 49}LR chi2({res}10{txt}){col 67}={col 70}{res}   197.39
{txt}Log likelihood  = {res}-1126.3779{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}              mid{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}lgswid8 {c |}{col 19}{res}{space 2} .0483476{col 31}{space 2} .0961014{col 42}{space 1}    0.50{col 51}{space 3}0.615{col 59}{space 4}-.1400076{col 72}{space 3} .2367029
{txt}lgswid8xlglnmilex {c |}{col 19}{res}{space 2} .0004368{col 31}{space 2} .0063724{col 42}{space 1}    0.07{col 51}{space 3}0.945{col 59}{space 4} -.012053{col 72}{space 3} .0129265
{txt}{space 8}lglnmilex {c |}{col 19}{res}{space 2} .0337671{col 31}{space 2}  .258244{col 42}{space 1}    0.13{col 51}{space 3}0.896{col 59}{space 4}-.4723819{col 72}{space 3} .5399161
{txt}{space 10}borders {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 9}openness {c |}{col 19}{res}{space 2}-.0061734{col 31}{space 2} .0033639{col 42}{space 1}   -1.84{col 51}{space 3}0.066{col 59}{space 4}-.0127665{col 72}{space 3} .0004198
{txt}{space 8}lgmunrest {c |}{col 19}{res}{space 2}-.0085973{col 31}{space 2}  .011138{col 42}{space 1}   -0.77{col 51}{space 3}0.440{col 59}{space 4}-.0304273{col 72}{space 3} .0132328
{txt}{space 8}lgeunrest {c |}{col 19}{res}{space 2}  .030796{col 31}{space 2} .0457923{col 42}{space 1}    0.67{col 51}{space 3}0.501{col 59}{space 4}-.0589553{col 72}{space 3} .1205472
{txt}{space 12}lggdp {c |}{col 19}{res}{space 2}-.0186124{col 31}{space 2} .0106485{col 42}{space 1}   -1.75{col 51}{space 3}0.080{col 59}{space 4}-.0394831{col 72}{space 3} .0022583
{txt}{space 16}t {c |}{col 19}{res}{space 2}-.3805933{col 31}{space 2} .0358498{col 42}{space 1}  -10.62{col 51}{space 3}0.000{col 59}{space 4}-.4508576{col 72}{space 3} -.310329
{txt}{space 15}t2 {c |}{col 19}{res}{space 2} .0210201{col 31}{space 2} .0028571{col 42}{space 1}    7.36{col 51}{space 3}0.000{col 59}{space 4} .0154203{col 72}{space 3} .0266199
{txt}{space 15}t3 {c |}{col 19}{res}{space 2}-.0002603{col 31}{space 2} .0000576{col 42}{space 1}   -4.52{col 51}{space 3}0.000{col 59}{space 4}-.0003731{col 72}{space 3}-.0001475
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins, dydx(lgswid8) at(lglnmilex=(0(1)20)) vsquish
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     3,182
{txt}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(mid|fixed effect is 0), predict(pu0)}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:lgswid8}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:lglnmilex}{space 7}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:lglnmilex}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:lglnmilex}{space 7}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:lglnmilex}{space 7}{txt:=} {space 10}3}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:lglnmilex}{space 7}{txt:=} {space 10}4}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:lglnmilex}{space 7}{txt:=} {space 10}5}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:lglnmilex}{space 7}{txt:=} {space 10}6}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:lglnmilex}{space 7}{txt:=} {space 10}7}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:lglnmilex}{space 7}{txt:=} {space 10}8}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:lglnmilex}{space 7}{txt:=} {space 10}9}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:lglnmilex}{space 7}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:12._at}:{space 1}{res:{txt:lglnmilex}{space 7}{txt:=} {space 9}11}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:13._at}:{space 1}{res:{txt:lglnmilex}{space 7}{txt:=} {space 9}12}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:14._at}:{space 1}{res:{txt:lglnmilex}{space 7}{txt:=} {space 9}13}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:15._at}:{space 1}{res:{txt:lglnmilex}{space 7}{txt:=} {space 9}14}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:16._at}:{space 1}{res:{txt:lglnmilex}{space 7}{txt:=} {space 9}15}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:17._at}:{space 1}{res:{txt:lglnmilex}{space 7}{txt:=} {space 9}16}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:18._at}:{space 1}{res:{txt:lglnmilex}{space 7}{txt:=} {space 9}17}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:19._at}:{space 1}{res:{txt:lglnmilex}{space 7}{txt:=} {space 9}18}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:20._at}:{space 1}{res:{txt:lglnmilex}{space 7}{txt:=} {space 9}19}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:21._at}:{space 1}{res:{txt:lglnmilex}{space 7}{txt:=} {space 9}20}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}lgswid8      {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0090688{col 26}{space 2} .0170574{col 37}{space 1}    0.53{col 46}{space 3}0.595{col 54}{space 4}-.0243631{col 67}{space 3} .0425007
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0089994{col 26}{space 2} .0163747{col 37}{space 1}    0.55{col 46}{space 3}0.583{col 54}{space 4}-.0230945{col 67}{space 3} .0410934
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0089278{col 26}{space 2} .0156574{col 37}{space 1}    0.57{col 46}{space 3}0.569{col 54}{space 4}-.0217601{col 67}{space 3} .0396158
{txt}{space 10}4  {c |}{col 14}{res}{space 2}  .008854{col 26}{space 2} .0149075{col 37}{space 1}    0.59{col 46}{space 3}0.553{col 54}{space 4}-.0203641{col 67}{space 3} .0380721
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .0087781{col 26}{space 2} .0141272{col 37}{space 1}    0.62{col 46}{space 3}0.534{col 54}{space 4}-.0189108{col 67}{space 3}  .036467
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .0087001{col 26}{space 2} .0133192{col 37}{space 1}    0.65{col 46}{space 3}0.514{col 54}{space 4} -.017405{col 67}{space 3} .0348052
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0086202{col 26}{space 2}  .012486{col 37}{space 1}    0.69{col 46}{space 3}0.490{col 54}{space 4} -.015852{col 67}{space 3} .0330924
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .0085383{col 26}{space 2} .0116309{col 37}{space 1}    0.73{col 46}{space 3}0.463{col 54}{space 4}-.0142578{col 67}{space 3} .0313344
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .0084546{col 26}{space 2} .0107573{col 37}{space 1}    0.79{col 46}{space 3}0.432{col 54}{space 4}-.0126292{col 67}{space 3} .0295385
{txt}{space 9}10  {c |}{col 14}{res}{space 2} .0083692{col 26}{space 2} .0098694{col 37}{space 1}    0.85{col 46}{space 3}0.396{col 54}{space 4}-.0109746{col 67}{space 3} .0277129
{txt}{space 9}11  {c |}{col 14}{res}{space 2}  .008282{col 26}{space 2} .0089727{col 37}{space 1}    0.92{col 46}{space 3}0.356{col 54}{space 4}-.0093041{col 67}{space 3} .0258682
{txt}{space 9}12  {c |}{col 14}{res}{space 2} .0081933{col 26}{space 2} .0080739{col 37}{space 1}    1.01{col 46}{space 3}0.310{col 54}{space 4}-.0076312{col 67}{space 3} .0240178
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .0081031{col 26}{space 2} .0071825{col 37}{space 1}    1.13{col 46}{space 3}0.259{col 54}{space 4}-.0059743{col 67}{space 3} .0221804
{txt}{space 9}14  {c |}{col 14}{res}{space 2} .0080114{col 26}{space 2} .0063121{col 37}{space 1}    1.27{col 46}{space 3}0.204{col 54}{space 4}-.0043602{col 67}{space 3} .0203829
{txt}{space 9}15  {c |}{col 14}{res}{space 2} .0079183{col 26}{space 2} .0054838{col 37}{space 1}    1.44{col 46}{space 3}0.149{col 54}{space 4}-.0028297{col 67}{space 3} .0186663
{txt}{space 9}16  {c |}{col 14}{res}{space 2} .0078239{col 26}{space 2} .0047306{col 37}{space 1}    1.65{col 46}{space 3}0.098{col 54}{space 4}-.0014478{col 67}{space 3} .0170956
{txt}{space 9}17  {c |}{col 14}{res}{space 2} .0077283{col 26}{space 2}  .004105{col 37}{space 1}    1.88{col 46}{space 3}0.060{col 54}{space 4}-.0003173{col 67}{space 3} .0157739
{txt}{space 9}18  {c |}{col 14}{res}{space 2} .0076316{col 26}{space 2} .0036827{col 37}{space 1}    2.07{col 46}{space 3}0.038{col 54}{space 4} .0004136{col 67}{space 3} .0148496
{txt}{space 9}19  {c |}{col 14}{res}{space 2} .0075338{col 26}{space 2} .0035452{col 37}{space 1}    2.13{col 46}{space 3}0.034{col 54}{space 4} .0005853{col 67}{space 3} .0144824
{txt}{space 9}20  {c |}{col 14}{res}{space 2} .0074351{col 26}{space 2} .0037296{col 37}{space 1}    1.99{col 46}{space 3}0.046{col 54}{space 4} .0001252{col 67}{space 3}  .014745
{txt}{space 9}21  {c |}{col 14}{res}{space 2} .0073354{col 26}{space 2} .0041964{col 37}{space 1}    1.75{col 46}{space 3}0.080{col 54}{space 4}-.0008893{col 67}{space 3} .0155601
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. marginsplot, yline (0)
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: lglnmilex{p_end}
{res}
{com}. 
. *APPENDIX

. use "/Users/slong/Dropbox/SBL Work Folder/Research/Ongoing Projects/Diversionary War Project/FPA 2021/Final Data/LongPickering2021 Dyadic.dta"

. *TABLE A1

. *Column 1

. logit cwinit lag_gini_c1 laggdp c.laggdp#c.lag_gini_c1 lag_apwr lag_polity1 lag_polity2 dist lag_adep lag_sglo lag_othdisp lag_ethnicfrac lagmunr cwpceyrs pceyrs2 pceyrs3, vce(cluster dyadid) 

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2181.1841}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1837.8637}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1708.7784}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1704.7875}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1704.7794}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1704.7794}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}    36,964
{txt}{col 49}Wald chi2({res}15{txt}){col 67}= {res}    521.97
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1704.7794{txt}{col 49}Pseudo R2{col 67}= {res}    0.2184

{txt}{ralign 88:(Std. Err. adjusted for {res:2,144} clusters in dyadid)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}                cwinit{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      z{col 56}   P>|z|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}lag_gini_c1 {c |}{col 24}{res}{space 2} .0335638{col 36}{space 2} .0145504{col 47}{space 1}    2.31{col 56}{space 3}0.021{col 64}{space 4} .0050455{col 77}{space 3} .0620822
{txt}{space 16}laggdp {c |}{col 24}{res}{space 2} -.000016{col 36}{space 2} .0000668{col 47}{space 1}   -0.24{col 56}{space 3}0.810{col 64}{space 4}-.0001469{col 77}{space 3} .0001148
{txt}{space 22} {c |}
c.laggdp#c.lag_gini_c1 {c |}{col 24}{res}{space 2} 8.32e-07{col 36}{space 2} 1.80e-06{col 47}{space 1}    0.46{col 56}{space 3}0.644{col 64}{space 4}-2.70e-06{col 77}{space 3} 4.36e-06
{txt}{space 22} {c |}
{space 14}lag_apwr {c |}{col 24}{res}{space 2} .0677893{col 36}{space 2} .2481228{col 47}{space 1}    0.27{col 56}{space 3}0.785{col 64}{space 4}-.4185225{col 77}{space 3}  .554101
{txt}{space 11}lag_polity1 {c |}{col 24}{res}{space 2} -.031875{col 36}{space 2} .0129164{col 47}{space 1}   -2.47{col 56}{space 3}0.014{col 64}{space 4}-.0571907{col 77}{space 3}-.0065592
{txt}{space 11}lag_polity2 {c |}{col 24}{res}{space 2}-.0135361{col 36}{space 2} .0099029{col 47}{space 1}   -1.37{col 56}{space 3}0.172{col 64}{space 4}-.0329454{col 77}{space 3} .0058732
{txt}{space 18}dist {c |}{col 24}{res}{space 2}-.3623986{col 36}{space 2} .0461747{col 47}{space 1}   -7.85{col 56}{space 3}0.000{col 64}{space 4}-.4528994{col 77}{space 3}-.2718979
{txt}{space 14}lag_adep {c |}{col 24}{res}{space 2}-.2609914{col 36}{space 2} 1.134254{col 47}{space 1}   -0.23{col 56}{space 3}0.818{col 64}{space 4}-2.484089{col 77}{space 3} 1.962106
{txt}{space 14}lag_sglo {c |}{col 24}{res}{space 2}-1.733133{col 36}{space 2} .5012043{col 47}{space 1}   -3.46{col 56}{space 3}0.001{col 64}{space 4}-2.715475{col 77}{space 3}-.7507906
{txt}{space 11}lag_othdisp {c |}{col 24}{res}{space 2} .5683871{col 36}{space 2}  .128833{col 47}{space 1}    4.41{col 56}{space 3}0.000{col 64}{space 4} .3158792{col 77}{space 3} .8208951
{txt}{space 8}lag_ethnicfrac {c |}{col 24}{res}{space 2} .0876266{col 36}{space 2} .3748698{col 47}{space 1}    0.23{col 56}{space 3}0.815{col 64}{space 4}-.6471048{col 77}{space 3}  .822358
{txt}{space 15}lagmunr {c |}{col 24}{res}{space 2} .0041722{col 36}{space 2} .0049699{col 47}{space 1}    0.84{col 56}{space 3}0.401{col 64}{space 4}-.0055686{col 77}{space 3} .0139129
{txt}{space 14}cwpceyrs {c |}{col 24}{res}{space 2}-.1735582{col 36}{space 2} .0249685{col 47}{space 1}   -6.95{col 56}{space 3}0.000{col 64}{space 4}-.2224956{col 77}{space 3}-.1246209
{txt}{space 15}pceyrs2 {c |}{col 24}{res}{space 2} .0025686{col 36}{space 2} .0007259{col 47}{space 1}    3.54{col 56}{space 3}0.000{col 64}{space 4} .0011458{col 77}{space 3} .0039913
{txt}{space 15}pceyrs3 {c |}{col 24}{res}{space 2}-.0000102{col 36}{space 2} 4.48e-06{col 47}{space 1}   -2.28{col 56}{space 3}0.023{col 64}{space 4} -.000019{col 77}{space 3}-1.44e-06
{txt}{space 17}_cons {c |}{col 24}{res}{space 2}-2.279059{col 36}{space 2} .7545636{col 47}{space 1}   -3.02{col 56}{space 3}0.003{col 64}{space 4}-3.757977{col 77}{space 3}-.8001419
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *Column 2

. logit cwinit lag_gini_c1 laggdp c.laggdp#c.lag_gini_c1 lag_apwr lag_polity2 dist lag_adep lag_sglo lag_othdisp lag_ethnicfrac lagmunr cwpceyrs pceyrs2 pceyrs3 if lag_polity1>5, vce(cluster dyadid) 

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1192.0116}  
Iteration 1:{space 3}log pseudolikelihood = {res:-995.19228}  
Iteration 2:{space 3}log pseudolikelihood = {res:-915.93673}  
Iteration 3:{space 3}log pseudolikelihood = {res:-913.44677}  
Iteration 4:{space 3}log pseudolikelihood = {res:-913.34312}  
Iteration 5:{space 3}log pseudolikelihood = {res:-913.34258}  
Iteration 6:{space 3}log pseudolikelihood = {res:-913.34258}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}    24,234
{txt}{col 49}Wald chi2({res}14{txt}){col 67}= {res}    317.14
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-913.34258{txt}{col 49}Pseudo R2{col 67}= {res}    0.2338

{txt}{ralign 88:(Std. Err. adjusted for {res:1,586} clusters in dyadid)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}                cwinit{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      z{col 56}   P>|z|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}lag_gini_c1 {c |}{col 24}{res}{space 2} .0841428{col 36}{space 2} .0249549{col 47}{space 1}    3.37{col 56}{space 3}0.001{col 64}{space 4} .0352322{col 77}{space 3} .1330535
{txt}{space 16}laggdp {c |}{col 24}{res}{space 2} .0000727{col 36}{space 2} .0001056{col 47}{space 1}    0.69{col 56}{space 3}0.491{col 64}{space 4}-.0001342{col 77}{space 3} .0002796
{txt}{space 22} {c |}
c.laggdp#c.lag_gini_c1 {c |}{col 24}{res}{space 2}-1.10e-06{col 36}{space 2} 2.91e-06{col 47}{space 1}   -0.38{col 56}{space 3}0.707{col 64}{space 4}-6.81e-06{col 77}{space 3} 4.61e-06
{txt}{space 22} {c |}
{space 14}lag_apwr {c |}{col 24}{res}{space 2} -.233838{col 36}{space 2} .4328431{col 47}{space 1}   -0.54{col 56}{space 3}0.589{col 64}{space 4}-1.082195{col 77}{space 3} .6145189
{txt}{space 11}lag_polity2 {c |}{col 24}{res}{space 2} -.052699{col 36}{space 2} .0148449{col 47}{space 1}   -3.55{col 56}{space 3}0.000{col 64}{space 4}-.0817945{col 77}{space 3}-.0236035
{txt}{space 18}dist {c |}{col 24}{res}{space 2}-.3091551{col 36}{space 2} .0609266{col 47}{space 1}   -5.07{col 56}{space 3}0.000{col 64}{space 4}-.4285691{col 77}{space 3}-.1897412
{txt}{space 14}lag_adep {c |}{col 24}{res}{space 2} .6715243{col 36}{space 2} 1.205982{col 47}{space 1}    0.56{col 56}{space 3}0.578{col 64}{space 4}-1.692158{col 77}{space 3} 3.035207
{txt}{space 14}lag_sglo {c |}{col 24}{res}{space 2}-1.231776{col 36}{space 2}  .728526{col 47}{space 1}   -1.69{col 56}{space 3}0.091{col 64}{space 4}-2.659661{col 77}{space 3}  .196109
{txt}{space 11}lag_othdisp {c |}{col 24}{res}{space 2} .5717545{col 36}{space 2} .2026256{col 47}{space 1}    2.82{col 56}{space 3}0.005{col 64}{space 4} .1746157{col 77}{space 3} .9688933
{txt}{space 8}lag_ethnicfrac {c |}{col 24}{res}{space 2}    -.272{col 36}{space 2} .6102648{col 47}{space 1}   -0.45{col 56}{space 3}0.656{col 64}{space 4}-1.468097{col 77}{space 3} .9240971
{txt}{space 15}lagmunr {c |}{col 24}{res}{space 2} .0062157{col 36}{space 2} .0049891{col 47}{space 1}    1.25{col 56}{space 3}0.213{col 64}{space 4}-.0035628{col 77}{space 3} .0159941
{txt}{space 14}cwpceyrs {c |}{col 24}{res}{space 2}-.2168231{col 36}{space 2} .0400083{col 47}{space 1}   -5.42{col 56}{space 3}0.000{col 64}{space 4} -.295238{col 77}{space 3}-.1384083
{txt}{space 15}pceyrs2 {c |}{col 24}{res}{space 2} .0036801{col 36}{space 2} .0012462{col 47}{space 1}    2.95{col 56}{space 3}0.003{col 64}{space 4} .0012375{col 77}{space 3} .0061226
{txt}{space 15}pceyrs3 {c |}{col 24}{res}{space 2}-.0000168{col 36}{space 2} 8.67e-06{col 47}{space 1}   -1.93{col 56}{space 3}0.053{col 64}{space 4}-.0000338{col 77}{space 3} 2.47e-07
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} -4.77942{col 36}{space 2} 1.220002{col 47}{space 1}   -3.92{col 56}{space 3}0.000{col 64}{space 4}-7.170579{col 77}{space 3} -2.38826
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 64 failures and 0 successes completely determined.{p_end}

{com}. *Column 3

. logit cwinit lag_gini_c1 laggdp c.laggdp#c.lag_gini_c1 lag_apwr lag_polity2 dist lag_adep lag_sglo lag_othdisp lag_ethnicfrac lagmunr cwpceyrs pceyrs2 pceyrs3 if lag_polity1<6, vce(cluster dyadid) 

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -976.2153}  
Iteration 1:{space 3}log pseudolikelihood = {res:-824.97095}  
Iteration 2:{space 3}log pseudolikelihood = {res:-766.99042}  
Iteration 3:{space 3}log pseudolikelihood = {res:-764.19969}  
Iteration 4:{space 3}log pseudolikelihood = {res:-764.13174}  
Iteration 5:{space 3}log pseudolikelihood = {res:-764.13139}  
Iteration 6:{space 3}log pseudolikelihood = {res:-764.13139}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}    12,821
{txt}{col 49}Wald chi2({res}14{txt}){col 67}= {res}    347.07
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-764.13139{txt}{col 49}Pseudo R2{col 67}= {res}    0.2173

{txt}{ralign 88:(Std. Err. adjusted for {res:1,264} clusters in dyadid)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}                cwinit{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      z{col 56}   P>|z|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}lag_gini_c1 {c |}{col 24}{res}{space 2} .0171779{col 36}{space 2} .0183328{col 47}{space 1}    0.94{col 56}{space 3}0.349{col 64}{space 4}-.0187538{col 77}{space 3} .0531096
{txt}{space 16}laggdp {c |}{col 24}{res}{space 2} .0000533{col 36}{space 2} .0001244{col 47}{space 1}    0.43{col 56}{space 3}0.668{col 64}{space 4}-.0001904{col 77}{space 3}  .000297
{txt}{space 22} {c |}
c.laggdp#c.lag_gini_c1 {c |}{col 24}{res}{space 2}-1.62e-06{col 36}{space 2} 3.00e-06{col 47}{space 1}   -0.54{col 56}{space 3}0.589{col 64}{space 4}-7.51e-06{col 77}{space 3} 4.26e-06
{txt}{space 22} {c |}
{space 14}lag_apwr {c |}{col 24}{res}{space 2} .4368746{col 36}{space 2}  .293341{col 47}{space 1}    1.49{col 56}{space 3}0.136{col 64}{space 4}-.1380632{col 77}{space 3} 1.011812
{txt}{space 11}lag_polity2 {c |}{col 24}{res}{space 2} .0189588{col 36}{space 2} .0136262{col 47}{space 1}    1.39{col 56}{space 3}0.164{col 64}{space 4} -.007748{col 77}{space 3} .0456657
{txt}{space 18}dist {c |}{col 24}{res}{space 2}-.4550003{col 36}{space 2}  .072476{col 47}{space 1}   -6.28{col 56}{space 3}0.000{col 64}{space 4}-.5970506{col 77}{space 3}  -.31295
{txt}{space 14}lag_adep {c |}{col 24}{res}{space 2}-1.033199{col 36}{space 2} 1.561705{col 47}{space 1}   -0.66{col 56}{space 3}0.508{col 64}{space 4}-4.094085{col 77}{space 3} 2.027686
{txt}{space 14}lag_sglo {c |}{col 24}{res}{space 2}-2.150571{col 36}{space 2} .7438967{col 47}{space 1}   -2.89{col 56}{space 3}0.004{col 64}{space 4}-3.608582{col 77}{space 3}-.6925608
{txt}{space 11}lag_othdisp {c |}{col 24}{res}{space 2} .6032561{col 36}{space 2} .1560082{col 47}{space 1}    3.87{col 56}{space 3}0.000{col 64}{space 4} .2974857{col 77}{space 3} .9090265
{txt}{space 8}lag_ethnicfrac {c |}{col 24}{res}{space 2} .3734495{col 36}{space 2} .4741642{col 47}{space 1}    0.79{col 56}{space 3}0.431{col 64}{space 4}-.5558952{col 77}{space 3} 1.302794
{txt}{space 15}lagmunr {c |}{col 24}{res}{space 2} .0250585{col 36}{space 2}  .015646{col 47}{space 1}    1.60{col 56}{space 3}0.109{col 64}{space 4}-.0056072{col 77}{space 3} .0557241
{txt}{space 14}cwpceyrs {c |}{col 24}{res}{space 2}-.1376012{col 36}{space 2} .0203352{col 47}{space 1}   -6.77{col 56}{space 3}0.000{col 64}{space 4}-.1774574{col 77}{space 3} -.097745
{txt}{space 15}pceyrs2 {c |}{col 24}{res}{space 2} .0017393{col 36}{space 2}  .000482{col 47}{space 1}    3.61{col 56}{space 3}0.000{col 64}{space 4} .0007946{col 77}{space 3}  .002684
{txt}{space 15}pceyrs3 {c |}{col 24}{res}{space 2}-5.77e-06{col 36}{space 2} 2.66e-06{col 47}{space 1}   -2.17{col 56}{space 3}0.030{col 64}{space 4} -.000011{col 77}{space 3}-5.51e-07
{txt}{space 17}_cons {c |}{col 24}{res}{space 2}-1.463641{col 36}{space 2} 1.074131{col 47}{space 1}   -1.36{col 56}{space 3}0.173{col 64}{space 4}  -3.5689{col 77}{space 3} .6416178
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *Column 4

. logit cwinit lag_gini_c1 lag_apwr lag_polity1 lag_polity2 dist lag_adep lag_sglo lag_othdisp lag_ethnicfrac lagmunr laggrowth c.lag_gini_c1#c.laggrowth cwpceyrs pceyrs2 pceyrs3, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2180.9697}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1835.8864}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1706.6601}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1701.7601}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1701.7525}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1701.7525}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}    36,944
{txt}{col 49}Wald chi2({res}15{txt}){col 67}= {res}    495.94
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1701.7525{txt}{col 49}Pseudo R2{col 67}= {res}    0.2197

{txt}{ralign 91:(Std. Err. adjusted for {res:2,144} clusters in dyadid)}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                   cwinit{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      z{col 59}   P>|z|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}lag_gini_c1 {c |}{col 27}{res}{space 2} .0332896{col 39}{space 2} .0088757{col 50}{space 1}    3.75{col 59}{space 3}0.000{col 67}{space 4} .0158935{col 80}{space 3} .0506856
{txt}{space 17}lag_apwr {c |}{col 27}{res}{space 2} .1456806{col 39}{space 2} .2364806{col 50}{space 1}    0.62{col 59}{space 3}0.538{col 67}{space 4}-.3178128{col 80}{space 3}  .609174
{txt}{space 14}lag_polity1 {c |}{col 27}{res}{space 2}-.0278113{col 39}{space 2} .0103736{col 50}{space 1}   -2.68{col 59}{space 3}0.007{col 67}{space 4}-.0481432{col 80}{space 3}-.0074794
{txt}{space 14}lag_polity2 {c |}{col 27}{res}{space 2}-.0137161{col 39}{space 2} .0097656{col 50}{space 1}   -1.40{col 59}{space 3}0.160{col 67}{space 4}-.0328565{col 80}{space 3} .0054242
{txt}{space 21}dist {c |}{col 27}{res}{space 2}-.3554999{col 39}{space 2} .0471595{col 50}{space 1}   -7.54{col 59}{space 3}0.000{col 67}{space 4}-.4479308{col 80}{space 3} -.263069
{txt}{space 17}lag_adep {c |}{col 27}{res}{space 2}-.1846485{col 39}{space 2} 1.156875{col 50}{space 1}   -0.16{col 59}{space 3}0.873{col 67}{space 4}-2.452082{col 80}{space 3} 2.082785
{txt}{space 17}lag_sglo {c |}{col 27}{res}{space 2}-1.830739{col 39}{space 2} .5067514{col 50}{space 1}   -3.61{col 59}{space 3}0.000{col 67}{space 4}-2.823954{col 80}{space 3}-.8375248
{txt}{space 14}lag_othdisp {c |}{col 27}{res}{space 2}  .596349{col 39}{space 2} .1301995{col 50}{space 1}    4.58{col 59}{space 3}0.000{col 67}{space 4} .3411627{col 80}{space 3} .8515352
{txt}{space 11}lag_ethnicfrac {c |}{col 27}{res}{space 2}  .012766{col 39}{space 2} .3744925{col 50}{space 1}    0.03{col 59}{space 3}0.973{col 67}{space 4}-.7212257{col 80}{space 3} .7467577
{txt}{space 18}lagmunr {c |}{col 27}{res}{space 2} .0033517{col 39}{space 2} .0052108{col 50}{space 1}    0.64{col 59}{space 3}0.520{col 67}{space 4}-.0068612{col 80}{space 3} .0135647
{txt}{space 16}laggrowth {c |}{col 27}{res}{space 2}-11.27506{col 39}{space 2} 5.451542{col 50}{space 1}   -2.07{col 59}{space 3}0.039{col 67}{space 4}-21.95989{col 80}{space 3}-.5902333
{txt}{space 25} {c |}
c.lag_gini_c1#c.laggrowth {c |}{col 27}{res}{space 2} .2581765{col 39}{space 2} .1316624{col 50}{space 1}    1.96{col 59}{space 3}0.050{col 67}{space 4} .0001229{col 80}{space 3} .5162302
{txt}{space 25} {c |}
{space 17}cwpceyrs {c |}{col 27}{res}{space 2}-.1730695{col 39}{space 2} .0252509{col 50}{space 1}   -6.85{col 59}{space 3}0.000{col 67}{space 4}-.2225604{col 80}{space 3}-.1235785
{txt}{space 18}pceyrs2 {c |}{col 27}{res}{space 2} .0025619{col 39}{space 2} .0007374{col 50}{space 1}    3.47{col 59}{space 3}0.001{col 67}{space 4} .0011167{col 80}{space 3} .0040071
{txt}{space 18}pceyrs3 {c |}{col 27}{res}{space 2}-.0000102{col 39}{space 2} 4.56e-06{col 50}{space 1}   -2.24{col 59}{space 3}0.025{col 67}{space 4}-.0000191{col 80}{space 3}-1.26e-06
{txt}{space 20}_cons {c |}{col 27}{res}{space 2}-2.093607{col 39}{space 2} .5944435{col 50}{space 1}   -3.52{col 59}{space 3}0.000{col 67}{space 4}-3.258695{col 80}{space 3}-.9285196
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *Column 5

. logit cwinit lag_gini_c1 lag_apwr lag_polity2 dist lag_adep lag_sglo lag_othdisp lag_ethnicfrac lagmunr laggrowth c.lag_gini_c1#c.laggrowth cwpceyrs pceyrs2 pceyrs3 if lag_polity1>5, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1191.8399}  
Iteration 1:{space 3}log pseudolikelihood = {res:-997.62878}  
Iteration 2:{space 3}log pseudolikelihood = {res:-919.47193}  
Iteration 3:{space 3}log pseudolikelihood = {res:-916.04492}  
Iteration 4:{space 3}log pseudolikelihood = {res:-915.92132}  
Iteration 5:{space 3}log pseudolikelihood = {res:-915.92048}  
Iteration 6:{space 3}log pseudolikelihood = {res:-915.92048}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}    24,214
{txt}{col 49}Wald chi2({res}14{txt}){col 67}= {res}    285.08
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-915.92048{txt}{col 49}Pseudo R2{col 67}= {res}    0.2315

{txt}{ralign 91:(Std. Err. adjusted for {res:1,586} clusters in dyadid)}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                   cwinit{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      z{col 59}   P>|z|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}lag_gini_c1 {c |}{col 27}{res}{space 2} .0600116{col 39}{space 2} .0118133{col 50}{space 1}    5.08{col 59}{space 3}0.000{col 67}{space 4}  .036858{col 80}{space 3} .0831651
{txt}{space 17}lag_apwr {c |}{col 27}{res}{space 2}-.0800681{col 39}{space 2} .3989414{col 50}{space 1}   -0.20{col 59}{space 3}0.841{col 67}{space 4}-.8619789{col 80}{space 3} .7018427
{txt}{space 14}lag_polity2 {c |}{col 27}{res}{space 2} -.049348{col 39}{space 2} .0138916{col 50}{space 1}   -3.55{col 59}{space 3}0.000{col 67}{space 4} -.076575{col 80}{space 3}-.0221209
{txt}{space 21}dist {c |}{col 27}{res}{space 2}-.2837349{col 39}{space 2} .0621965{col 50}{space 1}   -4.56{col 59}{space 3}0.000{col 67}{space 4}-.4056377{col 80}{space 3} -.161832
{txt}{space 17}lag_adep {c |}{col 27}{res}{space 2} .7821505{col 39}{space 2}  1.42514{col 50}{space 1}    0.55{col 59}{space 3}0.583{col 67}{space 4}-2.011073{col 80}{space 3} 3.575374
{txt}{space 17}lag_sglo {c |}{col 27}{res}{space 2}-1.501183{col 39}{space 2} .7483363{col 50}{space 1}   -2.01{col 59}{space 3}0.045{col 67}{space 4}-2.967895{col 80}{space 3}-.0344708
{txt}{space 14}lag_othdisp {c |}{col 27}{res}{space 2} .5738746{col 39}{space 2} .2027748{col 50}{space 1}    2.83{col 59}{space 3}0.005{col 67}{space 4} .1764432{col 80}{space 3} .9713059
{txt}{space 11}lag_ethnicfrac {c |}{col 27}{res}{space 2}-.3104679{col 39}{space 2} .5638257{col 50}{space 1}   -0.55{col 59}{space 3}0.582{col 67}{space 4}-1.415546{col 80}{space 3} .7946102
{txt}{space 18}lagmunr {c |}{col 27}{res}{space 2} .0031126{col 39}{space 2} .0055377{col 50}{space 1}    0.56{col 59}{space 3}0.574{col 67}{space 4}-.0077411{col 80}{space 3} .0139662
{txt}{space 16}laggrowth {c |}{col 27}{res}{space 2}-9.025404{col 39}{space 2} 7.709074{col 50}{space 1}   -1.17{col 59}{space 3}0.242{col 67}{space 4}-24.13491{col 80}{space 3} 6.084104
{txt}{space 25} {c |}
c.lag_gini_c1#c.laggrowth {c |}{col 27}{res}{space 2} .1554889{col 39}{space 2} .1879468{col 50}{space 1}    0.83{col 59}{space 3}0.408{col 67}{space 4}  -.21288{col 80}{space 3} .5238578
{txt}{space 25} {c |}
{space 17}cwpceyrs {c |}{col 27}{res}{space 2}-.2159357{col 39}{space 2} .0412478{col 50}{space 1}   -5.24{col 59}{space 3}0.000{col 67}{space 4}-.2967799{col 80}{space 3}-.1350915
{txt}{space 18}pceyrs2 {c |}{col 27}{res}{space 2} .0036908{col 39}{space 2} .0012977{col 50}{space 1}    2.84{col 59}{space 3}0.004{col 67}{space 4} .0011474{col 80}{space 3} .0062342
{txt}{space 18}pceyrs3 {c |}{col 27}{res}{space 2} -.000017{col 39}{space 2} 9.08e-06{col 50}{space 1}   -1.87{col 59}{space 3}0.062{col 67}{space 4}-.0000348{col 80}{space 3} 8.50e-07
{txt}{space 20}_cons {c |}{col 27}{res}{space 2}-3.285294{col 39}{space 2} .9255073{col 50}{space 1}   -3.55{col 59}{space 3}0.000{col 67}{space 4}-5.099255{col 80}{space 3}-1.471333
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 68 failures and 0 successes completely determined.{p_end}

{com}. *Column 6

. logit cwinit lag_gini_c1 lag_apwr lag_polity2 dist lag_adep lag_sglo lag_othdisp lag_ethnicfrac lagmunr laggrowth c.lag_gini_c1#c.laggrowth cwpceyrs pceyrs2 pceyrs3 if lag_polity1<6, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -976.2153}  
Iteration 1:{space 3}log pseudolikelihood = {res:-823.22674}  
Iteration 2:{space 3}log pseudolikelihood = {res:-764.29236}  
Iteration 3:{space 3}log pseudolikelihood = {res:-761.41975}  
Iteration 4:{space 3}log pseudolikelihood = {res:-761.35312}  
Iteration 5:{space 3}log pseudolikelihood = {res:-761.35277}  
Iteration 6:{space 3}log pseudolikelihood = {res:-761.35277}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}    12,821
{txt}{col 49}Wald chi2({res}14{txt}){col 67}= {res}    321.67
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-761.35277{txt}{col 49}Pseudo R2{col 67}= {res}    0.2201

{txt}{ralign 91:(Std. Err. adjusted for {res:1,264} clusters in dyadid)}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                   cwinit{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      z{col 59}   P>|z|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}lag_gini_c1 {c |}{col 27}{res}{space 2} .0053346{col 39}{space 2} .0107521{col 50}{space 1}    0.50{col 59}{space 3}0.620{col 67}{space 4}-.0157391{col 80}{space 3} .0264082
{txt}{space 17}lag_apwr {c |}{col 27}{res}{space 2} .4355541{col 39}{space 2} .2845319{col 50}{space 1}    1.53{col 59}{space 3}0.126{col 67}{space 4}-.1221181{col 80}{space 3} .9932264
{txt}{space 14}lag_polity2 {c |}{col 27}{res}{space 2} .0175532{col 39}{space 2} .0132659{col 50}{space 1}    1.32{col 59}{space 3}0.186{col 67}{space 4}-.0084475{col 80}{space 3}  .043554
{txt}{space 21}dist {c |}{col 27}{res}{space 2}-.4527664{col 39}{space 2} .0677186{col 50}{space 1}   -6.69{col 59}{space 3}0.000{col 67}{space 4}-.5854925{col 80}{space 3}-.3200404
{txt}{space 17}lag_adep {c |}{col 27}{res}{space 2} -1.09968{col 39}{space 2} 1.580928{col 50}{space 1}   -0.70{col 59}{space 3}0.487{col 67}{space 4}-4.198242{col 80}{space 3} 1.998882
{txt}{space 17}lag_sglo {c |}{col 27}{res}{space 2}-2.165936{col 39}{space 2} .6948942{col 50}{space 1}   -3.12{col 59}{space 3}0.002{col 67}{space 4}-3.527904{col 80}{space 3}-.8039689
{txt}{space 14}lag_othdisp {c |}{col 27}{res}{space 2}  .631398{col 39}{space 2} .1627142{col 50}{space 1}    3.88{col 59}{space 3}0.000{col 67}{space 4}  .312484{col 80}{space 3} .9503119
{txt}{space 11}lag_ethnicfrac {c |}{col 27}{res}{space 2} .3252257{col 39}{space 2} .4823975{col 50}{space 1}    0.67{col 59}{space 3}0.500{col 67}{space 4} -.620256{col 80}{space 3} 1.270707
{txt}{space 18}lagmunr {c |}{col 27}{res}{space 2} .0191577{col 39}{space 2} .0156206{col 50}{space 1}    1.23{col 59}{space 3}0.220{col 67}{space 4}-.0114581{col 80}{space 3} .0497735
{txt}{space 16}laggrowth {c |}{col 27}{res}{space 2}-12.38758{col 39}{space 2} 6.341926{col 50}{space 1}   -1.95{col 59}{space 3}0.051{col 67}{space 4}-24.81753{col 80}{space 3} .0423647
{txt}{space 25} {c |}
c.lag_gini_c1#c.laggrowth {c |}{col 27}{res}{space 2} .3105572{col 39}{space 2} .1644591{col 50}{space 1}    1.89{col 59}{space 3}0.059{col 67}{space 4}-.0117768{col 80}{space 3} .6328912
{txt}{space 25} {c |}
{space 17}cwpceyrs {c |}{col 27}{res}{space 2}-.1370765{col 39}{space 2} .0201973{col 50}{space 1}   -6.79{col 59}{space 3}0.000{col 67}{space 4}-.1766624{col 80}{space 3}-.0974905
{txt}{space 18}pceyrs2 {c |}{col 27}{res}{space 2} .0017257{col 39}{space 2} .0004714{col 50}{space 1}    3.66{col 59}{space 3}0.000{col 67}{space 4} .0008019{col 80}{space 3} .0026496
{txt}{space 18}pceyrs3 {c |}{col 27}{res}{space 2}-5.71e-06{col 39}{space 2} 2.58e-06{col 50}{space 1}   -2.21{col 59}{space 3}0.027{col 67}{space 4}-.0000108{col 80}{space 3}-6.45e-07
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} -.990393{col 39}{space 2} .6752172{col 50}{space 1}   -1.47{col 59}{space 3}0.142{col 67}{space 4}-2.313794{col 80}{space 3} .3330083
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *TABLE A2

. *Model 1

. log off
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}/Users/slong/Desktop/LongPickering Replication Log.smcl
  {txt}log type:  {res}smcl
 {txt}paused on:  {res} 7 Jul 2021, 18:00:36
{txt}{.-}
{smcl}
{txt}{sf}{ul off}{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}/Users/slong/Desktop/LongPickering Replication Log.smcl
  {txt}log type:  {res}smcl
{txt}resumed on:  {res} 7 Jul 2021, 18:02:38

{com}. use "/Users/slong/Desktop/LongPickering2021 Monadic.dta"
{txt}(spline 3 MIDforce)

{com}. xtlogit mid gini lglnmilex lgmunrest lgeunrest lggdp lgpolity2, fe
{txt}note: multiple positive outcomes within groups encountered.
note: 66 groups (362 obs) dropped because of all positive or
      all negative outcomes.
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-281.76466}  
Iteration 1:{space 3}log likelihood = {res:-274.01246}  
Iteration 2:{space 3}log likelihood = {res:-273.92861}  
Iteration 3:{space 3}log likelihood = {res:-273.92846}  
Iteration 4:{space 3}log likelihood = {res:-273.92846}  
{res}
{txt}Conditional fixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       776
{txt}Group variable: {res}ccode{col 49}{txt}Number of groups{col 67}={col 69}{res}        67

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         2
{txt}{col 63}avg{col 67}={col 69}{res}      11.6
{txt}{col 63}max{col 67}={col 69}{res}        28

{txt}{col 49}LR chi2({res}6{txt}){col 67}={col 70}{res}    13.13
{txt}Log likelihood  = {res}-273.92846{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0410

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}         mid{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}gini {c |}{col 14}{res}{space 2} .0703746{col 26}{space 2} .0352237{col 37}{space 1}    2.00{col 46}{space 3}0.046{col 54}{space 4} .0013375{col 67}{space 3} .1394118
{txt}{space 3}lglnmilex {c |}{col 14}{res}{space 2}-.2441532{col 26}{space 2} .1683707{col 37}{space 1}   -1.45{col 46}{space 3}0.147{col 54}{space 4}-.5741537{col 67}{space 3} .0858473
{txt}{space 3}lgmunrest {c |}{col 14}{res}{space 2}-.0664552{col 26}{space 2} .0314257{col 37}{space 1}   -2.11{col 46}{space 3}0.034{col 54}{space 4}-.1280484{col 67}{space 3} -.004862
{txt}{space 3}lgeunrest {c |}{col 14}{res}{space 2}-.0017148{col 26}{space 2} .1570987{col 37}{space 1}   -0.01{col 46}{space 3}0.991{col 54}{space 4}-.3096226{col 67}{space 3} .3061929
{txt}{space 7}lggdp {c |}{col 14}{res}{space 2}-.0298153{col 26}{space 2} .0237779{col 37}{space 1}   -1.25{col 46}{space 3}0.210{col 54}{space 4}-.0764191{col 67}{space 3} .0167886
{txt}{space 3}lgpolity2 {c |}{col 14}{res}{space 2}-.0236302{col 26}{space 2}  .034748{col 37}{space 1}   -0.68{col 46}{space 3}0.496{col 54}{space 4}-.0917349{col 67}{space 3} .0444745
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *Model 2

. xtlogit mid lgswid8 lglncinc lgmunrest lgeunrest lggdp lgpolity2, fe
{txt}note: multiple positive outcomes within groups encountered.
note: 66 groups (724 obs) dropped because of all positive or
      all negative outcomes.
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1262.9576}  
Iteration 1:{space 3}log likelihood = {res:-1257.3033}  
Iteration 2:{space 3}log likelihood = {res:-1257.2946}  
Iteration 3:{space 3}log likelihood = {res:-1257.2946}  
{res}
{txt}Conditional fixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}     3,340
{txt}Group variable: {res}ccode{col 49}{txt}Number of groups{col 67}={col 69}{res}       112

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         5
{txt}{col 63}avg{col 67}={col 69}{res}      29.8
{txt}{col 63}max{col 67}={col 69}{res}        52

{txt}{col 49}LR chi2({res}6{txt}){col 67}={col 70}{res}    31.86
{txt}Log likelihood  = {res}-1257.2946{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}         mid{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}lgswid8 {c |}{col 14}{res}{space 2} .0602685{col 26}{space 2} .0230091{col 37}{space 1}    2.62{col 46}{space 3}0.009{col 54}{space 4} .0151715{col 67}{space 3} .1053655
{txt}{space 4}lglncinc {c |}{col 14}{res}{space 2} .3233978{col 26}{space 2}  .137948{col 37}{space 1}    2.34{col 46}{space 3}0.019{col 54}{space 4} .0530246{col 67}{space 3} .5937709
{txt}{space 3}lgmunrest {c |}{col 14}{res}{space 2}-.0066779{col 26}{space 2} .0094115{col 37}{space 1}   -0.71{col 46}{space 3}0.478{col 54}{space 4} -.025124{col 67}{space 3} .0117682
{txt}{space 3}lgeunrest {c |}{col 14}{res}{space 2}-.0157326{col 26}{space 2} .0566045{col 37}{space 1}   -0.28{col 46}{space 3}0.781{col 54}{space 4}-.1266754{col 67}{space 3} .0952102
{txt}{space 7}lggdp {c |}{col 14}{res}{space 2}-.0225191{col 26}{space 2} .0097077{col 37}{space 1}   -2.32{col 46}{space 3}0.020{col 54}{space 4}-.0415458{col 67}{space 3}-.0034923
{txt}{space 3}lgpolity2 {c |}{col 14}{res}{space 2}-.0528818{col 26}{space 2} .0126391{col 37}{space 1}   -4.18{col 46}{space 3}0.000{col 54}{space 4}-.0776539{col 67}{space 3}-.0281096
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *TABLE A3

. *Column 1

. zip countmid lgswid8 lglnmilex borders openness lgmunrest lgeunrest lggdp lgpolity2 t t2 t3, inflate(borders) vce(cluster ccode)

{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2965.7124}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2741.8985}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2663.9473}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2659.6488}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2659.6282}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2659.6282}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2659.6282}  
Iteration 1:{space 3}log pseudolikelihood = {res: -2164.197}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2163.7389}  (not concave)
Iteration 3:{space 3}log pseudolikelihood = {res:-2139.4242}  (not concave)
Iteration 4:{space 3}log pseudolikelihood = {res:-2060.7967}  (not concave)
Iteration 5:{space 3}log pseudolikelihood = {res:-2053.2224}  (not concave)
Iteration 6:{space 3}log pseudolikelihood = {res:-2051.0092}  (not concave)
Iteration 7:{space 3}log pseudolikelihood = {res:-2048.3228}  
Iteration 8:{space 3}log pseudolikelihood = {res:-2044.5415}  
Iteration 9:{space 3}log pseudolikelihood = {res:-2043.9167}  
Iteration 10:{space 2}log pseudolikelihood = {res:-2043.7362}  
Iteration 11:{space 2}log pseudolikelihood = {res:-2043.6887}  
Iteration 12:{space 2}log pseudolikelihood = {res:-2043.6777}  
Iteration 13:{space 2}log pseudolikelihood = {res:-2043.6749}  
Iteration 14:{space 2}log pseudolikelihood = {res:-2043.6743}  
Iteration 15:{space 2}log pseudolikelihood = {res:-2043.6742}  
Iteration 16:{space 2}log pseudolikelihood = {res:-2043.6742}  
{res}
{txt}Zero-inflated Poisson regression                Number of obs     = {res}     3,685
                                                {txt}Nonzero obs       = {res}       761
                                                {txt}Zero obs          = {res}     2,924

{txt}Inflation model      = {res}logit                    {txt}Wald chi2({res}11{txt})     = {res}    761.01
{txt}Log pseudolikelihood = {res}-2043.674                {txt}Prob > chi2       = {res}    0.0000

{txt}{ralign 78:(Std. Err. adjusted for {res:151} clusters in ccode)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    countmid{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}countmid     {txt}{c |}
{space 5}lgswid8 {c |}{col 14}{res}{space 2} .0209778{col 26}{space 2} .0072989{col 37}{space 1}    2.87{col 46}{space 3}0.004{col 54}{space 4} .0066722{col 67}{space 3} .0352834
{txt}{space 3}lglnmilex {c |}{col 14}{res}{space 2} .2691645{col 26}{space 2} .0287629{col 37}{space 1}    9.36{col 46}{space 3}0.000{col 54}{space 4} .2127901{col 67}{space 3} .3255388
{txt}{space 5}borders {c |}{col 14}{res}{space 2} .0297062{col 26}{space 2} .0170028{col 37}{space 1}    1.75{col 46}{space 3}0.081{col 54}{space 4}-.0036188{col 67}{space 3} .0630311
{txt}{space 4}openness {c |}{col 14}{res}{space 2}-.0043205{col 26}{space 2} .0020338{col 37}{space 1}   -2.12{col 46}{space 3}0.034{col 54}{space 4}-.0083067{col 67}{space 3}-.0003343
{txt}{space 3}lgmunrest {c |}{col 14}{res}{space 2}-.0076631{col 26}{space 2} .0129294{col 37}{space 1}   -0.59{col 46}{space 3}0.553{col 54}{space 4}-.0330043{col 67}{space 3} .0176781
{txt}{space 3}lgeunrest {c |}{col 14}{res}{space 2} .0026949{col 26}{space 2} .0281195{col 37}{space 1}    0.10{col 46}{space 3}0.924{col 54}{space 4}-.0524184{col 67}{space 3} .0578081
{txt}{space 7}lggdp {c |}{col 14}{res}{space 2}-.0313683{col 26}{space 2} .0118005{col 37}{space 1}   -2.66{col 46}{space 3}0.008{col 54}{space 4}-.0544968{col 67}{space 3}-.0082399
{txt}{space 3}lgpolity2 {c |}{col 14}{res}{space 2}-.0266019{col 26}{space 2} .0133893{col 37}{space 1}   -1.99{col 46}{space 3}0.047{col 54}{space 4}-.0528443{col 67}{space 3}-.0003594
{txt}{space 11}t {c |}{col 14}{res}{space 2} -.475897{col 26}{space 2} .0376622{col 37}{space 1}  -12.64{col 46}{space 3}0.000{col 54}{space 4}-.5497136{col 67}{space 3}-.4020804
{txt}{space 10}t2 {c |}{col 14}{res}{space 2} .0267174{col 26}{space 2} .0030862{col 37}{space 1}    8.66{col 46}{space 3}0.000{col 54}{space 4} .0206685{col 67}{space 3} .0327662
{txt}{space 10}t3 {c |}{col 14}{res}{space 2}-.0004044{col 26}{space 2}  .000064{col 37}{space 1}   -6.32{col 46}{space 3}0.000{col 54}{space 4}-.0005297{col 67}{space 3} -.000279
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-4.671775{col 26}{space 2} .5036182{col 37}{space 1}   -9.28{col 46}{space 3}0.000{col 54}{space 4}-5.658848{col 67}{space 3}-3.684701
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}inflate      {txt}{c |}
{space 5}borders {c |}{col 14}{res}{space 2}-15.14748{col 26}{space 2} 1.278684{col 37}{space 1}  -11.85{col 46}{space 3}0.000{col 54}{space 4}-17.65366{col 67}{space 3}-12.64131
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.1425081{col 26}{space 2} .5394713{col 37}{space 1}   -0.26{col 46}{space 3}0.792{col 54}{space 4}-1.199852{col 67}{space 3} .9148362
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *Column 2

. zip countmid lgswid8 lglnmilex borders openness lgmunrest lgeunrest lggdp t t2 t3 if polity2>5, inflate(borders) vce(cluster ccode)

{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1662.1385}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1535.6948}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1497.9636}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1495.4646}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1495.4572}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1495.4572}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1495.4572}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1230.5742}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1135.5415}  (not concave)
Iteration 3:{space 3}log pseudolikelihood = {res:-1117.2532}  (not concave)
Iteration 4:{space 3}log pseudolikelihood = {res:-1115.0804}  (not concave)
Iteration 5:{space 3}log pseudolikelihood = {res:-1113.4787}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1112.7419}  
Iteration 7:{space 3}log pseudolikelihood = {res:-1112.7399}  
Iteration 8:{space 3}log pseudolikelihood = {res:-1112.7358}  
Iteration 9:{space 3}log pseudolikelihood = {res:-1112.7356}  
Iteration 10:{space 2}log pseudolikelihood = {res:-1112.7356}  
{res}
{txt}Zero-inflated Poisson regression                Number of obs     = {res}     2,299
                                                {txt}Nonzero obs       = {res}       421
                                                {txt}Zero obs          = {res}     1,878

{txt}Inflation model      = {res}logit                    {txt}Wald chi2({res}10{txt})     = {res}    804.99
{txt}Log pseudolikelihood = {res}-1112.736                {txt}Prob > chi2       = {res}    0.0000

{txt}{ralign 78:(Std. Err. adjusted for {res:113} clusters in ccode)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    countmid{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}countmid     {txt}{c |}
{space 5}lgswid8 {c |}{col 14}{res}{space 2} .0227402{col 26}{space 2} .0091845{col 37}{space 1}    2.48{col 46}{space 3}0.013{col 54}{space 4} .0047389{col 67}{space 3} .0407414
{txt}{space 3}lglnmilex {c |}{col 14}{res}{space 2} .2988838{col 26}{space 2}  .031889{col 37}{space 1}    9.37{col 46}{space 3}0.000{col 54}{space 4} .2363825{col 67}{space 3}  .361385
{txt}{space 5}borders {c |}{col 14}{res}{space 2} .0311495{col 26}{space 2} .0318705{col 37}{space 1}    0.98{col 46}{space 3}0.328{col 54}{space 4}-.0313156{col 67}{space 3} .0936146
{txt}{space 4}openness {c |}{col 14}{res}{space 2} -.001083{col 26}{space 2} .0022041{col 37}{space 1}   -0.49{col 46}{space 3}0.623{col 54}{space 4}-.0054029{col 67}{space 3} .0032369
{txt}{space 3}lgmunrest {c |}{col 14}{res}{space 2}-.0083735{col 26}{space 2} .0104995{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.0289521{col 67}{space 3} .0122051
{txt}{space 3}lgeunrest {c |}{col 14}{res}{space 2} .1390631{col 26}{space 2} .0776031{col 37}{space 1}    1.79{col 46}{space 3}0.073{col 54}{space 4}-.0130362{col 67}{space 3} .2911625
{txt}{space 7}lggdp {c |}{col 14}{res}{space 2}-.0121941{col 26}{space 2} .0140742{col 37}{space 1}   -0.87{col 46}{space 3}0.386{col 54}{space 4} -.039779{col 67}{space 3} .0153908
{txt}{space 11}t {c |}{col 14}{res}{space 2}-.5041889{col 26}{space 2} .0461539{col 37}{space 1}  -10.92{col 46}{space 3}0.000{col 54}{space 4} -.594649{col 67}{space 3}-.4137288
{txt}{space 10}t2 {c |}{col 14}{res}{space 2} .0286622{col 26}{space 2} .0040738{col 37}{space 1}    7.04{col 46}{space 3}0.000{col 54}{space 4} .0206777{col 67}{space 3} .0366467
{txt}{space 10}t3 {c |}{col 14}{res}{space 2} -.000438{col 26}{space 2} .0000884{col 37}{space 1}   -4.96{col 46}{space 3}0.000{col 54}{space 4}-.0006112{col 67}{space 3}-.0002648
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-5.710531{col 26}{space 2} .8184978{col 37}{space 1}   -6.98{col 46}{space 3}0.000{col 54}{space 4}-7.314757{col 67}{space 3}-4.106305
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}inflate      {txt}{c |}
{space 5}borders {c |}{col 14}{res}{space 2}-3.806975{col 26}{space 2} 15.24148{col 37}{space 1}   -0.25{col 46}{space 3}0.803{col 54}{space 4}-33.67973{col 67}{space 3} 26.06578
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.5632539{col 26}{space 2} .8042583{col 37}{space 1}   -0.70{col 46}{space 3}0.484{col 54}{space 4}-2.139571{col 67}{space 3} 1.013063
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *Column 3

. zip countmid lgswid8 lglnmilex borders openness lgmunrest lgeunrest lggdp t t2 t3 if polity2<6, inflate(borders) vce(cluster ccode)

{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1360.7529}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1256.9752}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1218.9954}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1217.1557}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1217.1394}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1217.1393}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1217.1393}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1040.5134}  
Iteration 2:{space 3}log pseudolikelihood = {res:-986.39296}  
Iteration 3:{space 3}log pseudolikelihood = {res:-970.95466}  (not concave)
Iteration 4:{space 3}log pseudolikelihood = {res: -970.4149}  
Iteration 5:{space 3}log pseudolikelihood = {res:-969.43067}  
Iteration 6:{space 3}log pseudolikelihood = {res:-969.31669}  
Iteration 7:{space 3}log pseudolikelihood = {res:-967.99978}  
Iteration 8:{space 3}log pseudolikelihood = {res:-966.91497}  
Iteration 9:{space 3}log pseudolikelihood = {res:-966.90154}  
Iteration 10:{space 2}log pseudolikelihood = {res: -966.9015}  
{res}
{txt}Zero-inflated Poisson regression                Number of obs     = {res}     1,502
                                                {txt}Nonzero obs       = {res}       357
                                                {txt}Zero obs          = {res}     1,145

{txt}Inflation model      = {res}logit                    {txt}Wald chi2({res}10{txt})     = {res}    440.98
{txt}Log pseudolikelihood = {res}-966.9015                {txt}Prob > chi2       = {res}    0.0000

{txt}{ralign 78:(Std. Err. adjusted for {res:100} clusters in ccode)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    countmid{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}countmid     {txt}{c |}
{space 5}lgswid8 {c |}{col 14}{res}{space 2} .0174161{col 26}{space 2} .0134932{col 37}{space 1}    1.29{col 46}{space 3}0.197{col 54}{space 4}-.0090301{col 67}{space 3} .0438622
{txt}{space 3}lglnmilex {c |}{col 14}{res}{space 2} .2567707{col 26}{space 2} .0961315{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0683564{col 67}{space 3} .4451851
{txt}{space 5}borders {c |}{col 14}{res}{space 2} .0313641{col 26}{space 2} .0501279{col 37}{space 1}    0.63{col 46}{space 3}0.532{col 54}{space 4}-.0668847{col 67}{space 3} .1296129
{txt}{space 4}openness {c |}{col 14}{res}{space 2}-.0092029{col 26}{space 2} .0054855{col 37}{space 1}   -1.68{col 46}{space 3}0.093{col 54}{space 4}-.0199544{col 67}{space 3} .0015486
{txt}{space 3}lgmunrest {c |}{col 14}{res}{space 2}-.0048494{col 26}{space 2} .0269403{col 37}{space 1}   -0.18{col 46}{space 3}0.857{col 54}{space 4}-.0576514{col 67}{space 3} .0479527
{txt}{space 3}lgeunrest {c |}{col 14}{res}{space 2}-.0180353{col 26}{space 2} .0386159{col 37}{space 1}   -0.47{col 46}{space 3}0.640{col 54}{space 4}-.0937211{col 67}{space 3} .0576505
{txt}{space 7}lggdp {c |}{col 14}{res}{space 2}-.0305531{col 26}{space 2} .0148745{col 37}{space 1}   -2.05{col 46}{space 3}0.040{col 54}{space 4}-.0597066{col 67}{space 3}-.0013995
{txt}{space 11}t {c |}{col 14}{res}{space 2} -.416903{col 26}{space 2} .0504749{col 37}{space 1}   -8.26{col 46}{space 3}0.000{col 54}{space 4} -.515832{col 67}{space 3} -.317974
{txt}{space 10}t2 {c |}{col 14}{res}{space 2}  .022777{col 26}{space 2}  .004222{col 37}{space 1}    5.39{col 46}{space 3}0.000{col 54}{space 4} .0145019{col 67}{space 3}  .031052
{txt}{space 10}t3 {c |}{col 14}{res}{space 2}-.0003422{col 26}{space 2}  .000087{col 37}{space 1}   -3.93{col 46}{space 3}0.000{col 54}{space 4}-.0005128{col 67}{space 3}-.0001716
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-3.907016{col 26}{space 2} 1.071039{col 37}{space 1}   -3.65{col 46}{space 3}0.000{col 54}{space 4}-6.006214{col 67}{space 3}-1.807818
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}inflate      {txt}{c |}
{space 5}borders {c |}{col 14}{res}{space 2}  .073343{col 26}{space 2} .2113423{col 37}{space 1}    0.35{col 46}{space 3}0.729{col 54}{space 4}-.3408803{col 67}{space 3} .4875662
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-2.397444{col 26}{space 2} 2.452002{col 37}{space 1}   -0.98{col 46}{space 3}0.328{col 54}{space 4}-7.203281{col 67}{space 3} 2.408392
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *TABLE A4

. *Column 1

. zip countmidforce lgswid8 lglnmilex borders openness lgmunrest lgeunrest lggdp lgpolity2 t t2 t3, inflate(borders) vce(cluster ccode)

{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2212.9763}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2046.2759}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2001.8902}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1992.6129}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1992.5738}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1992.5738}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1992.5738}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1808.0981}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-1807.4243}  
Iteration 3:{space 3}log pseudolikelihood = {res: -1556.022}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1510.5432}  (not concave)
Iteration 5:{space 3}log pseudolikelihood = {res:-1508.2915}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1503.9553}  
Iteration 7:{space 3}log pseudolikelihood = {res:-1503.2591}  
Iteration 8:{space 3}log pseudolikelihood = {res:-1503.2501}  
Iteration 9:{space 3}log pseudolikelihood = {res:-1503.2501}  
{res}
{txt}Zero-inflated Poisson regression                Number of obs     = {res}     3,685
                                                {txt}Nonzero obs       = {res}       528
                                                {txt}Zero obs          = {res}     3,157

{txt}Inflation model      = {res}logit                    {txt}Wald chi2({res}11{txt})     = {res}    416.81
{txt}Log pseudolikelihood = {res} -1503.25                {txt}Prob > chi2       = {res}    0.0000

{txt}{ralign 79:(Std. Err. adjusted for {res:151} clusters in ccode)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}countmidforce{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}countmidforce {txt}{c |}
{space 6}lgswid8 {c |}{col 15}{res}{space 2}  .030295{col 27}{space 2} .0096898{col 38}{space 1}    3.13{col 47}{space 3}0.002{col 55}{space 4} .0113034{col 68}{space 3} .0492866
{txt}{space 4}lglnmilex {c |}{col 15}{res}{space 2} .2462956{col 27}{space 2} .0412986{col 38}{space 1}    5.96{col 47}{space 3}0.000{col 55}{space 4} .1653517{col 68}{space 3} .3272394
{txt}{space 6}borders {c |}{col 15}{res}{space 2} .0244663{col 27}{space 2} .0210647{col 38}{space 1}    1.16{col 47}{space 3}0.245{col 55}{space 4}-.0168197{col 68}{space 3} .0657523
{txt}{space 5}openness {c |}{col 15}{res}{space 2} -.008877{col 27}{space 2} .0036816{col 38}{space 1}   -2.41{col 47}{space 3}0.016{col 55}{space 4}-.0160927{col 68}{space 3}-.0016612
{txt}{space 4}lgmunrest {c |}{col 15}{res}{space 2}-.0009156{col 27}{space 2}  .016387{col 38}{space 1}   -0.06{col 47}{space 3}0.955{col 55}{space 4}-.0330335{col 68}{space 3} .0312024
{txt}{space 4}lgeunrest {c |}{col 15}{res}{space 2}-.0011692{col 27}{space 2} .0508987{col 38}{space 1}   -0.02{col 47}{space 3}0.982{col 55}{space 4}-.1009288{col 68}{space 3} .0985904
{txt}{space 8}lggdp {c |}{col 15}{res}{space 2}-.0373465{col 27}{space 2} .0127681{col 38}{space 1}   -2.92{col 47}{space 3}0.003{col 55}{space 4}-.0623715{col 68}{space 3}-.0123215
{txt}{space 4}lgpolity2 {c |}{col 15}{res}{space 2} -.036553{col 27}{space 2}  .019764{col 38}{space 1}   -1.85{col 47}{space 3}0.064{col 55}{space 4}-.0752898{col 68}{space 3} .0021838
{txt}{space 12}t {c |}{col 15}{res}{space 2}-.6211147{col 27}{space 2} .0553363{col 38}{space 1}  -11.22{col 47}{space 3}0.000{col 55}{space 4}-.7295718{col 68}{space 3}-.5126575
{txt}{space 11}t2 {c |}{col 15}{res}{space 2} .0354938{col 27}{space 2} .0046264{col 38}{space 1}    7.67{col 47}{space 3}0.000{col 55}{space 4} .0264263{col 68}{space 3} .0445613
{txt}{space 11}t3 {c |}{col 15}{res}{space 2} -.000545{col 27}{space 2} .0000996{col 38}{space 1}   -5.47{col 47}{space 3}0.000{col 55}{space 4}-.0007402{col 68}{space 3}-.0003498
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-4.604608{col 27}{space 2} .7310035{col 38}{space 1}   -6.30{col 47}{space 3}0.000{col 55}{space 4}-6.037348{col 68}{space 3}-3.171867
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}inflate       {txt}{c |}
{space 6}borders {c |}{col 15}{res}{space 2} .1327718{col 27}{space 2} .1241149{col 38}{space 1}    1.07{col 47}{space 3}0.285{col 55}{space 4}-.1104889{col 68}{space 3} .3760324
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-2.518937{col 27}{space 2} 1.285094{col 38}{space 1}   -1.96{col 47}{space 3}0.050{col 55}{space 4}-5.037676{col 68}{space 3}-.0001986
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *Column 2

. zip countmidforce lgswid8 lglnmilex borders openness lgmunrest lgeunrest lggdp t t2 t3 if polity2>5, inflate(borders) vce(cluster ccode)

{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1163.7532}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1073.4883}  
Iteration 2:{space 3}log pseudolikelihood = {res:  -1070.32}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1058.0807}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1057.9236}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1057.9234}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1057.9234}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1057.9234}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-947.33661}  
Iteration 2:{space 3}log pseudolikelihood = {res:-841.61467}  
Iteration 3:{space 3}log pseudolikelihood = {res:-774.47464}  
Iteration 4:{space 3}log pseudolikelihood = {res:-767.60202}  
Iteration 5:{space 3}log pseudolikelihood = {res:-766.94386}  
Iteration 6:{space 3}log pseudolikelihood = {res:-766.89807}  
Iteration 7:{space 3}log pseudolikelihood = {res:-766.89509}  
Iteration 8:{space 3}log pseudolikelihood = {res:-766.89506}  
{res}
{txt}Zero-inflated Poisson regression                Number of obs     = {res}     2,299
                                                {txt}Nonzero obs       = {res}       281
                                                {txt}Zero obs          = {res}     2,018

{txt}Inflation model      = {res}logit                    {txt}Wald chi2({res}10{txt})     = {res}    426.78
{txt}Log pseudolikelihood = {res}-766.8951                {txt}Prob > chi2       = {res}    0.0000

{txt}{ralign 79:(Std. Err. adjusted for {res:113} clusters in ccode)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}countmidforce{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}countmidforce {txt}{c |}
{space 6}lgswid8 {c |}{col 15}{res}{space 2} .0303794{col 27}{space 2} .0111979{col 38}{space 1}    2.71{col 47}{space 3}0.007{col 55}{space 4}  .008432{col 68}{space 3} .0523268
{txt}{space 4}lglnmilex {c |}{col 15}{res}{space 2} .3059867{col 27}{space 2} .0429145{col 38}{space 1}    7.13{col 47}{space 3}0.000{col 55}{space 4} .2218759{col 68}{space 3} .3900975
{txt}{space 6}borders {c |}{col 15}{res}{space 2}-.0041138{col 27}{space 2} .0276209{col 38}{space 1}   -0.15{col 47}{space 3}0.882{col 55}{space 4}-.0582497{col 68}{space 3} .0500222
{txt}{space 5}openness {c |}{col 15}{res}{space 2}-.0021862{col 27}{space 2} .0033082{col 38}{space 1}   -0.66{col 47}{space 3}0.509{col 55}{space 4}-.0086702{col 68}{space 3} .0042977
{txt}{space 4}lgmunrest {c |}{col 15}{res}{space 2} .0036077{col 27}{space 2} .0128624{col 38}{space 1}    0.28{col 47}{space 3}0.779{col 55}{space 4}-.0216021{col 68}{space 3} .0288174
{txt}{space 4}lgeunrest {c |}{col 15}{res}{space 2} .2186637{col 27}{space 2} .0820053{col 38}{space 1}    2.67{col 47}{space 3}0.008{col 55}{space 4} .0579362{col 68}{space 3} .3793911
{txt}{space 8}lggdp {c |}{col 15}{res}{space 2}-.0189599{col 27}{space 2} .0194256{col 38}{space 1}   -0.98{col 47}{space 3}0.329{col 55}{space 4}-.0570334{col 68}{space 3} .0191137
{txt}{space 12}t {c |}{col 15}{res}{space 2}-.6122306{col 27}{space 2}  .071502{col 38}{space 1}   -8.56{col 47}{space 3}0.000{col 55}{space 4}-.7523718{col 68}{space 3}-.4720893
{txt}{space 11}t2 {c |}{col 15}{res}{space 2} .0351345{col 27}{space 2} .0068616{col 38}{space 1}    5.12{col 47}{space 3}0.000{col 55}{space 4}  .021686{col 68}{space 3}  .048583
{txt}{space 11}t3 {c |}{col 15}{res}{space 2}-.0005421{col 27}{space 2} .0001576{col 38}{space 1}   -3.44{col 47}{space 3}0.001{col 55}{space 4} -.000851{col 68}{space 3}-.0002333
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-6.368566{col 27}{space 2} 1.085706{col 38}{space 1}   -5.87{col 47}{space 3}0.000{col 55}{space 4}-8.496511{col 68}{space 3} -4.24062
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}inflate       {txt}{c |}
{space 6}borders {c |}{col 15}{res}{space 2}-1.228026{col 27}{space 2} .9846322{col 38}{space 1}   -1.25{col 47}{space 3}0.212{col 55}{space 4} -3.15787{col 68}{space 3} .7018176
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-1.346127{col 27}{space 2} 1.492289{col 38}{space 1}   -0.90{col 47}{space 3}0.367{col 55}{space 4}-4.270959{col 68}{space 3} 1.578705
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *Column 3

. zip countmidforce lgswid8 lglnmilex borders openness lgmunrest lgeunrest lggdp t t2 t3 if polity2<6, inflate(borders) vce(cluster ccode)

{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1083.1491}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1017.7553}  
Iteration 2:{space 3}log pseudolikelihood = {res:-995.71246}  
Iteration 3:{space 3}log pseudolikelihood = {res: -969.8576}  
Iteration 4:{space 3}log pseudolikelihood = {res:-969.57129}  
Iteration 5:{space 3}log pseudolikelihood = {res:-969.57017}  
Iteration 6:{space 3}log pseudolikelihood = {res:-969.57017}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-969.57017}  
Iteration 1:{space 3}log pseudolikelihood = {res:-815.35657}  
Iteration 2:{space 3}log pseudolikelihood = {res:-757.85095}  (not concave)
Iteration 3:{space 3}log pseudolikelihood = {res:-753.49316}  
Iteration 4:{space 3}log pseudolikelihood = {res: -752.0445}  
Iteration 5:{space 3}log pseudolikelihood = {res:-750.49302}  
Iteration 6:{space 3}log pseudolikelihood = {res:-750.48972}  
Iteration 7:{space 3}log pseudolikelihood = {res:-750.48972}  
{res}
{txt}Zero-inflated Poisson regression                Number of obs     = {res}     1,502
                                                {txt}Nonzero obs       = {res}       258
                                                {txt}Zero obs          = {res}     1,244

{txt}Inflation model      = {res}logit                    {txt}Wald chi2({res}10{txt})     = {res}    267.80
{txt}Log pseudolikelihood = {res}-750.4897                {txt}Prob > chi2       = {res}    0.0000

{txt}{ralign 79:(Std. Err. adjusted for {res:100} clusters in ccode)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}countmidforce{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}countmidforce {txt}{c |}
{space 6}lgswid8 {c |}{col 15}{res}{space 2} .0252153{col 27}{space 2} .0147037{col 38}{space 1}    1.71{col 47}{space 3}0.086{col 55}{space 4}-.0036034{col 68}{space 3} .0540339
{txt}{space 4}lglnmilex {c |}{col 15}{res}{space 2} .2549347{col 27}{space 2} .1031671{col 38}{space 1}    2.47{col 47}{space 3}0.013{col 55}{space 4}  .052731{col 68}{space 3} .4571385
{txt}{space 6}borders {c |}{col 15}{res}{space 2}-.0074707{col 27}{space 2} .0506377{col 38}{space 1}   -0.15{col 47}{space 3}0.883{col 55}{space 4}-.1067188{col 68}{space 3} .0917774
{txt}{space 5}openness {c |}{col 15}{res}{space 2}-.0173959{col 27}{space 2} .0082593{col 38}{space 1}   -2.11{col 47}{space 3}0.035{col 55}{space 4}-.0335839{col 68}{space 3} -.001208
{txt}{space 4}lgmunrest {c |}{col 15}{res}{space 2}-.0015858{col 27}{space 2} .0251118{col 38}{space 1}   -0.06{col 47}{space 3}0.950{col 55}{space 4} -.050804{col 68}{space 3} .0476324
{txt}{space 4}lgeunrest {c |}{col 15}{res}{space 2} -.035385{col 27}{space 2} .0546173{col 38}{space 1}   -0.65{col 47}{space 3}0.517{col 55}{space 4}-.1424331{col 68}{space 3}  .071663
{txt}{space 8}lggdp {c |}{col 15}{res}{space 2} -.036897{col 27}{space 2} .0128087{col 38}{space 1}   -2.88{col 47}{space 3}0.004{col 55}{space 4}-.0620016{col 68}{space 3}-.0117924
{txt}{space 12}t {c |}{col 15}{res}{space 2}-.5982967{col 27}{space 2} .0692876{col 38}{space 1}   -8.63{col 47}{space 3}0.000{col 55}{space 4}-.7340979{col 68}{space 3}-.4624954
{txt}{space 11}t2 {c |}{col 15}{res}{space 2} .0345609{col 27}{space 2} .0050095{col 38}{space 1}    6.90{col 47}{space 3}0.000{col 55}{space 4} .0247423{col 68}{space 3} .0443794
{txt}{space 11}t3 {c |}{col 15}{res}{space 2}-.0005356{col 27}{space 2} .0000953{col 38}{space 1}   -5.62{col 47}{space 3}0.000{col 55}{space 4}-.0007225{col 68}{space 3}-.0003488
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-3.667723{col 27}{space 2} 1.257038{col 38}{space 1}   -2.92{col 47}{space 3}0.004{col 55}{space 4}-6.131472{col 68}{space 3}-1.203974
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}inflate       {txt}{c |}
{space 6}borders {c |}{col 15}{res}{space 2} .0752873{col 27}{space 2} .1361952{col 38}{space 1}    0.55{col 47}{space 3}0.580{col 55}{space 4}-.1916503{col 68}{space 3} .3422249
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-1.580487{col 27}{space 2} 1.419653{col 38}{space 1}   -1.11{col 47}{space 3}0.266{col 55}{space 4}-4.362956{col 68}{space 3} 1.201981
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *TABLE A5

. *Column 1

. firthlogit midforce lgswid8 lglnmilex borders openness lgmunrest lgeunrest lggdp mft mft2 mft3 if polity2>5
{res}
{txt}initial:{col 16}penalized log likelihood = {res:-798.23464}
rescale:{col 16}penalized log likelihood = {res:-798.23464}
{res}{txt}Iteration 0:{space 3}penalized log likelihood = {res:-798.23464}  
Iteration 1:{space 3}penalized log likelihood = {res: -579.4362}  (not concave)
Iteration 2:{space 3}penalized log likelihood = {res: -492.7318}  
Iteration 3:{space 3}penalized log likelihood = {res:-482.46669}  (not concave)
Iteration 4:{space 3}penalized log likelihood = {res:-481.52572}  
Iteration 5:{space 3}penalized log likelihood = {res:-480.82614}  
Iteration 6:{space 3}penalized log likelihood = {res:-480.80426}  
Iteration 7:{space 3}penalized log likelihood = {res:-480.80426}  
{res}
{txt}{col 49}Number of obs{col 67}= {res}     2,299
{txt}{col 49}Wald chi2({res}10{txt}){col 67}= {res}    369.21
{txt}Penalized log likelihood = {res}-480.80426{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    midforce{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}lgswid8 {c |}{col 14}{res}{space 2} .0256192{col 26}{space 2} .0107773{col 37}{space 1}    2.38{col 46}{space 3}0.017{col 54}{space 4}  .004496{col 67}{space 3} .0467423
{txt}{space 3}lglnmilex {c |}{col 14}{res}{space 2} .3447921{col 26}{space 2} .0499942{col 37}{space 1}    6.90{col 46}{space 3}0.000{col 54}{space 4} .2468052{col 67}{space 3} .4427789
{txt}{space 5}borders {c |}{col 14}{res}{space 2} .0063119{col 26}{space 2} .0294589{col 37}{space 1}    0.21{col 46}{space 3}0.830{col 54}{space 4}-.0514265{col 67}{space 3} .0640503
{txt}{space 4}openness {c |}{col 14}{res}{space 2}-.0004551{col 26}{space 2} .0028752{col 37}{space 1}   -0.16{col 46}{space 3}0.874{col 54}{space 4}-.0060904{col 67}{space 3} .0051802
{txt}{space 3}lgmunrest {c |}{col 14}{res}{space 2} .0131872{col 26}{space 2} .0155974{col 37}{space 1}    0.85{col 46}{space 3}0.398{col 54}{space 4}-.0173831{col 67}{space 3} .0437575
{txt}{space 3}lgeunrest {c |}{col 14}{res}{space 2} .3750791{col 26}{space 2} .1221243{col 37}{space 1}    3.07{col 46}{space 3}0.002{col 54}{space 4} .1357198{col 67}{space 3} .6144384
{txt}{space 7}lggdp {c |}{col 14}{res}{space 2}-.0245239{col 26}{space 2} .0192869{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0623256{col 67}{space 3} .0132778
{txt}{space 9}mft {c |}{col 14}{res}{space 2}-.6823014{col 26}{space 2} .0571263{col 37}{space 1}  -11.94{col 46}{space 3}0.000{col 54}{space 4}-.7942668{col 67}{space 3} -.570336
{txt}{space 8}mft2 {c |}{col 14}{res}{space 2} .0371356{col 26}{space 2} .0042127{col 37}{space 1}    8.82{col 46}{space 3}0.000{col 54}{space 4} .0288789{col 67}{space 3} .0453923
{txt}{space 8}mft3 {c |}{col 14}{res}{space 2}-.0005548{col 26}{space 2} .0000792{col 37}{space 1}   -7.00{col 46}{space 3}0.000{col 54}{space 4}  -.00071{col 67}{space 3}-.0003995
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-6.273444{col 26}{space 2} 1.091934{col 37}{space 1}   -5.75{col 46}{space 3}0.000{col 54}{space 4}-8.413595{col 67}{space 3}-4.133292
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *Column 2

. xtlogit midforce lgswid8 lglnmilex borders openness lgmunrest lgeunrest lggdp mft mft2 mft3 if polity2>5, fe
{txt}note: multiple positive outcomes within groups encountered.
note: 66 groups (942 obs) dropped because of all positive or
      all negative outcomes.
note: borders omitted because of no within-group variance.
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-398.81536}  
Iteration 1:{space 3}log likelihood = {res:-380.72547}  
Iteration 2:{space 3}log likelihood = {res:-380.41952}  
Iteration 3:{space 3}log likelihood = {res: -380.4194}  
Iteration 4:{space 3}log likelihood = {res: -380.4194}  
{res}
{txt}Conditional fixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}     1,357
{txt}Group variable: {res}ccode{col 49}{txt}Number of groups{col 67}={col 69}{res}        47

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         3
{txt}{col 63}avg{col 67}={col 69}{res}      28.9
{txt}{col 63}max{col 67}={col 69}{res}        52

{txt}{col 49}LR chi2({res}9{txt}){col 67}={col 70}{res}   187.37
{txt}Log likelihood  = {res} -380.4194{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    midforce{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}lgswid8 {c |}{col 14}{res}{space 2} .1711771{col 26}{space 2} .0488484{col 37}{space 1}    3.50{col 46}{space 3}0.000{col 54}{space 4}  .075436{col 67}{space 3} .2669183
{txt}{space 3}lglnmilex {c |}{col 14}{res}{space 2} .2581147{col 26}{space 2} .1401023{col 37}{space 1}    1.84{col 46}{space 3}0.065{col 54}{space 4}-.0164807{col 67}{space 3} .5327101
{txt}{space 5}borders {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 4}openness {c |}{col 14}{res}{space 2}-.0276364{col 26}{space 2} .0090479{col 37}{space 1}   -3.05{col 46}{space 3}0.002{col 54}{space 4}  -.04537{col 67}{space 3}-.0099028
{txt}{space 3}lgmunrest {c |}{col 14}{res}{space 2}-.0080353{col 26}{space 2} .0170257{col 37}{space 1}   -0.47{col 46}{space 3}0.637{col 54}{space 4}-.0414051{col 67}{space 3} .0253346
{txt}{space 3}lgeunrest {c |}{col 14}{res}{space 2} .1780553{col 26}{space 2} .1348203{col 37}{space 1}    1.32{col 46}{space 3}0.187{col 54}{space 4}-.0861876{col 67}{space 3} .4422982
{txt}{space 7}lggdp {c |}{col 14}{res}{space 2}-.0514794{col 26}{space 2} .0269498{col 37}{space 1}   -1.91{col 46}{space 3}0.056{col 54}{space 4}-.1043001{col 67}{space 3} .0013413
{txt}{space 9}mft {c |}{col 14}{res}{space 2}-.5150752{col 26}{space 2} .0627598{col 37}{space 1}   -8.21{col 46}{space 3}0.000{col 54}{space 4}-.6380822{col 67}{space 3}-.3920682
{txt}{space 8}mft2 {c |}{col 14}{res}{space 2} .0264476{col 26}{space 2} .0049607{col 37}{space 1}    5.33{col 46}{space 3}0.000{col 54}{space 4} .0167248{col 67}{space 3} .0361705
{txt}{space 8}mft3 {c |}{col 14}{res}{space 2}-.0003093{col 26}{space 2} .0000998{col 37}{space 1}   -3.10{col 46}{space 3}0.002{col 54}{space 4} -.000505{col 67}{space 3}-.0001137
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *Column 3

. xtlogit midforce lgswid8 lglnmilex borders openness lgmunrest lgeunrest lgpolity2 lgswid8Xlgpolity2 lggdp mft mft2 mft3, fe
{txt}note: multiple positive outcomes within groups encountered.
note: 70 groups (1,179 obs) dropped because of all positive or
      all negative outcomes.
note: borders omitted because of no within-group variance.
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-817.16788}  
Iteration 1:{space 3}log likelihood = {res:-793.57853}  
Iteration 2:{space 3}log likelihood = {res:-793.09171}  
Iteration 3:{space 3}log likelihood = {res:-793.09132}  
Iteration 4:{space 3}log likelihood = {res:-793.09132}  
{res}
{txt}Conditional fixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}     2,506
{txt}Group variable: {res}ccode{col 49}{txt}Number of groups{col 67}={col 69}{res}        81

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         4
{txt}{col 63}avg{col 67}={col 69}{res}      30.9
{txt}{col 63}max{col 67}={col 69}{res}        52

{txt}{col 49}LR chi2({res}11{txt}){col 67}={col 70}{res}   237.14
{txt}Log likelihood  = {res}-793.09132{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}         midforce{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}lgswid8 {c |}{col 19}{res}{space 2} .0768026{col 31}{space 2} .0279067{col 42}{space 1}    2.75{col 51}{space 3}0.006{col 59}{space 4} .0221065{col 72}{space 3} .1314986
{txt}{space 8}lglnmilex {c |}{col 19}{res}{space 2} .1224168{col 31}{space 2} .0797953{col 42}{space 1}    1.53{col 51}{space 3}0.125{col 59}{space 4}-.0339792{col 72}{space 3} .2788128
{txt}{space 10}borders {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 9}openness {c |}{col 19}{res}{space 2}-.0137961{col 31}{space 2} .0046732{col 42}{space 1}   -2.95{col 51}{space 3}0.003{col 59}{space 4}-.0229554{col 72}{space 3}-.0046368
{txt}{space 8}lgmunrest {c |}{col 19}{res}{space 2} .0032498{col 31}{space 2} .0118531{col 42}{space 1}    0.27{col 51}{space 3}0.784{col 59}{space 4}-.0199819{col 72}{space 3} .0264815
{txt}{space 8}lgeunrest {c |}{col 19}{res}{space 2} .0277911{col 31}{space 2} .0508541{col 42}{space 1}    0.55{col 51}{space 3}0.585{col 59}{space 4}-.0718811{col 72}{space 3} .1274634
{txt}{space 8}lgpolity2 {c |}{col 19}{res}{space 2}-.0114514{col 31}{space 2} .0814082{col 42}{space 1}   -0.14{col 51}{space 3}0.888{col 59}{space 4}-.1710086{col 72}{space 3} .1481058
{txt}lgswid8Xlgpolity2 {c |}{col 19}{res}{space 2}-.0001154{col 31}{space 2} .0020068{col 42}{space 1}   -0.06{col 51}{space 3}0.954{col 59}{space 4}-.0040486{col 72}{space 3} .0038179
{txt}{space 12}lggdp {c |}{col 19}{res}{space 2}-.0217752{col 31}{space 2} .0127882{col 42}{space 1}   -1.70{col 51}{space 3}0.089{col 59}{space 4}-.0468397{col 72}{space 3} .0032892
{txt}{space 14}mft {c |}{col 19}{res}{space 2}-.4416276{col 31}{space 2} .0447445{col 42}{space 1}   -9.87{col 51}{space 3}0.000{col 59}{space 4}-.5293251{col 72}{space 3}-.3539301
{txt}{space 13}mft2 {c |}{col 19}{res}{space 2} .0228778{col 31}{space 2} .0036983{col 42}{space 1}    6.19{col 51}{space 3}0.000{col 59}{space 4} .0156293{col 72}{space 3} .0301263
{txt}{space 13}mft3 {c |}{col 19}{res}{space 2}-.0002634{col 31}{space 2} .0000775{col 42}{space 1}   -3.40{col 51}{space 3}0.001{col 59}{space 4}-.0004154{col 72}{space 3}-.0001115
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *Column 4

. xtlogit midforce lgswid8 lglnmilex borders openness lgmunrest lgeunrest lgpolity2 swidmu  swideu lggdp mft mft2 mft3, fe
{txt}note: multiple positive outcomes within groups encountered.
note: 57 groups (1,005 obs) dropped because of all positive or
      all negative outcomes.
note: borders omitted because of no within-group variance.
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-728.29189}  
Iteration 1:{space 3}log likelihood = {res:-703.38053}  
Iteration 2:{space 3}log likelihood = {res:-703.00058}  
Iteration 3:{space 3}log likelihood = {res:-703.00043}  
Iteration 4:{space 3}log likelihood = {res:-703.00043}  
{res}
{txt}Conditional fixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}     2,220
{txt}Group variable: {res}ccode{col 49}{txt}Number of groups{col 67}={col 69}{res}        78

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         2
{txt}{col 63}avg{col 67}={col 69}{res}      28.5
{txt}{col 63}max{col 67}={col 69}{res}        51

{txt}{col 49}LR chi2({res}12{txt}){col 67}={col 70}{res}   214.15
{txt}Log likelihood  = {res}-703.00043{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    midforce{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}lgswid8 {c |}{col 14}{res}{space 2}  .084394{col 26}{space 2} .0313791{col 37}{space 1}    2.69{col 46}{space 3}0.007{col 54}{space 4}  .022892{col 67}{space 3} .1458959
{txt}{space 3}lglnmilex {c |}{col 14}{res}{space 2} .0609572{col 26}{space 2} .0914292{col 37}{space 1}    0.67{col 46}{space 3}0.505{col 54}{space 4}-.1182408{col 67}{space 3} .2401552
{txt}{space 5}borders {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 4}openness {c |}{col 14}{res}{space 2}-.0142664{col 26}{space 2} .0051719{col 37}{space 1}   -2.76{col 46}{space 3}0.006{col 54}{space 4} -.024403{col 67}{space 3}-.0041297
{txt}{space 3}lgmunrest {c |}{col 14}{res}{space 2}-.0800271{col 26}{space 2} .0603808{col 37}{space 1}   -1.33{col 46}{space 3}0.185{col 54}{space 4}-.1983714{col 67}{space 3} .0383171
{txt}{space 3}lgeunrest {c |}{col 14}{res}{space 2}-.1280905{col 26}{space 2} .4449104{col 37}{space 1}   -0.29{col 46}{space 3}0.773{col 54}{space 4}-1.000099{col 67}{space 3} .7439178
{txt}{space 3}lgpolity2 {c |}{col 14}{res}{space 2}-.0038373{col 26}{space 2} .0186064{col 37}{space 1}   -0.21{col 46}{space 3}0.837{col 54}{space 4}-.0403052{col 67}{space 3} .0326306
{txt}{space 6}swidmu {c |}{col 14}{res}{space 2} .0020369{col 26}{space 2} .0014648{col 37}{space 1}    1.39{col 46}{space 3}0.164{col 54}{space 4}-.0008341{col 67}{space 3} .0049079
{txt}{space 6}swideu {c |}{col 14}{res}{space 2} .0076916{col 26}{space 2}  .012004{col 37}{space 1}    0.64{col 46}{space 3}0.522{col 54}{space 4}-.0158359{col 67}{space 3}  .031219
{txt}{space 7}lggdp {c |}{col 14}{res}{space 2}-.0234684{col 26}{space 2} .0136061{col 37}{space 1}   -1.72{col 46}{space 3}0.085{col 54}{space 4}-.0501359{col 67}{space 3} .0031992
{txt}{space 9}mft {c |}{col 14}{res}{space 2}-.4354163{col 26}{space 2} .0472324{col 37}{space 1}   -9.22{col 46}{space 3}0.000{col 54}{space 4}-.5279902{col 67}{space 3}-.3428425
{txt}{space 8}mft2 {c |}{col 14}{res}{space 2} .0222395{col 26}{space 2} .0038615{col 37}{space 1}    5.76{col 46}{space 3}0.000{col 54}{space 4} .0146711{col 67}{space 3}  .029808
{txt}{space 8}mft3 {c |}{col 14}{res}{space 2}-.0002491{col 26}{space 2} .0000805{col 37}{space 1}   -3.10{col 46}{space 3}0.002{col 54}{space 4}-.0004068{col 67}{space 3}-.0000914
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *TABLE A6

. *Column 1

. xtlogit MIDrecip1 lgswid8 lgpolity2 lgswid8Xlgpolity2 lglnmilex borders openness lgmunrest lgeunrest lggdp t t2 t3, fe
{txt}note: multiple positive outcomes within groups encountered.
note: 79 groups (1,359 obs) dropped because of all positive or
      all negative outcomes.
note: borders omitted because of no within-group variance.
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: -653.3545}  
Iteration 1:{space 3}log likelihood = {res:-647.58275}  
Iteration 2:{space 3}log likelihood = {res:-647.57311}  
Iteration 3:{space 3}log likelihood = {res:-647.57311}  
{res}
{txt}Conditional fixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}     2,326
{txt}Group variable: {res}ccode{col 49}{txt}Number of groups{col 67}={col 69}{res}        72

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         4
{txt}{col 63}avg{col 67}={col 69}{res}      32.3
{txt}{col 63}max{col 67}={col 69}{res}        52

{txt}{col 49}LR chi2({res}11{txt}){col 67}={col 70}{res}    21.90
{txt}Log likelihood  = {res}-647.57311{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0251

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        MIDrecip1{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}lgswid8 {c |}{col 19}{res}{space 2}-.0679705{col 31}{space 2} .0286428{col 42}{space 1}   -2.37{col 51}{space 3}0.018{col 59}{space 4}-.1241093{col 72}{space 3}-.0118317
{txt}{space 8}lgpolity2 {c |}{col 19}{res}{space 2}-.0422217{col 31}{space 2} .0885511{col 42}{space 1}   -0.48{col 51}{space 3}0.634{col 59}{space 4}-.2157788{col 72}{space 3} .1313353
{txt}lgswid8Xlgpolity2 {c |}{col 19}{res}{space 2}-.0002711{col 31}{space 2}  .002196{col 42}{space 1}   -0.12{col 51}{space 3}0.902{col 59}{space 4}-.0045751{col 72}{space 3} .0040329
{txt}{space 8}lglnmilex {c |}{col 19}{res}{space 2} .1142539{col 31}{space 2} .0813623{col 42}{space 1}    1.40{col 51}{space 3}0.160{col 59}{space 4}-.0452133{col 72}{space 3} .2737211
{txt}{space 10}borders {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 9}openness {c |}{col 19}{res}{space 2} .0001492{col 31}{space 2} .0047925{col 42}{space 1}    0.03{col 51}{space 3}0.975{col 59}{space 4}-.0092439{col 72}{space 3} .0095423
{txt}{space 8}lgmunrest {c |}{col 19}{res}{space 2} .0045355{col 31}{space 2} .0133642{col 42}{space 1}    0.34{col 51}{space 3}0.734{col 59}{space 4}-.0216578{col 72}{space 3} .0307289
{txt}{space 8}lgeunrest {c |}{col 19}{res}{space 2}-.0136309{col 31}{space 2} .0826466{col 42}{space 1}   -0.16{col 51}{space 3}0.869{col 59}{space 4}-.1756152{col 72}{space 3} .1483534
{txt}{space 12}lggdp {c |}{col 19}{res}{space 2} .0078193{col 31}{space 2} .0129824{col 42}{space 1}    0.60{col 51}{space 3}0.547{col 59}{space 4}-.0176257{col 72}{space 3} .0332644
{txt}{space 16}t {c |}{col 19}{res}{space 2} -.091844{col 31}{space 2} .0487727{col 42}{space 1}   -1.88{col 51}{space 3}0.060{col 59}{space 4}-.1874366{col 72}{space 3} .0037487
{txt}{space 15}t2 {c |}{col 19}{res}{space 2}  .005863{col 31}{space 2} .0037006{col 42}{space 1}    1.58{col 51}{space 3}0.113{col 59}{space 4}  -.00139{col 72}{space 3}  .013116
{txt}{space 15}t3 {c |}{col 19}{res}{space 2}-.0000778{col 31}{space 2} .0000725{col 42}{space 1}   -1.07{col 51}{space 3}0.284{col 59}{space 4}-.0002199{col 72}{space 3} .0000644
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *Column 2

. xtlogit MIDrecip2 lgswid8 lgpolity2 lgswid8Xlgpolity2 lglnmilex borders openness lgmunrest lgeunrest lggdp t t2 t3, fe
{txt}note: multiple positive outcomes within groups encountered.
note: 78 groups (1,343 obs) dropped because of all positive or
      all negative outcomes.
note: borders omitted because of no within-group variance.
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:  -695.833}  
Iteration 1:{space 3}log likelihood = {res:-690.10799}  
Iteration 2:{space 3}log likelihood = {res:-690.09918}  
Iteration 3:{space 3}log likelihood = {res:-690.09918}  
{res}
{txt}Conditional fixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}     2,342
{txt}Group variable: {res}ccode{col 49}{txt}Number of groups{col 67}={col 69}{res}        73

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         4
{txt}{col 63}avg{col 67}={col 69}{res}      32.1
{txt}{col 63}max{col 67}={col 69}{res}        52

{txt}{col 49}LR chi2({res}11{txt}){col 67}={col 70}{res}    22.72
{txt}Log likelihood  = {res}-690.09918{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0194

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        MIDrecip2{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}lgswid8 {c |}{col 19}{res}{space 2} -.068439{col 31}{space 2} .0277332{col 42}{space 1}   -2.47{col 51}{space 3}0.014{col 59}{space 4}-.1227951{col 72}{space 3}-.0140828
{txt}{space 8}lgpolity2 {c |}{col 19}{res}{space 2}-.0432703{col 31}{space 2} .0837026{col 42}{space 1}   -0.52{col 51}{space 3}0.605{col 59}{space 4}-.2073245{col 72}{space 3} .1207839
{txt}lgswid8Xlgpolity2 {c |}{col 19}{res}{space 2}-.0001842{col 31}{space 2} .0020803{col 42}{space 1}   -0.09{col 51}{space 3}0.929{col 59}{space 4}-.0042615{col 72}{space 3} .0038931
{txt}{space 8}lglnmilex {c |}{col 19}{res}{space 2} .1068651{col 31}{space 2} .0794715{col 42}{space 1}    1.34{col 51}{space 3}0.179{col 59}{space 4}-.0488962{col 72}{space 3} .2626264
{txt}{space 10}borders {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 9}openness {c |}{col 19}{res}{space 2}-.0008211{col 31}{space 2} .0047186{col 42}{space 1}   -0.17{col 51}{space 3}0.862{col 59}{space 4}-.0100694{col 72}{space 3} .0084272
{txt}{space 8}lgmunrest {c |}{col 19}{res}{space 2} .0057024{col 31}{space 2} .0127787{col 42}{space 1}    0.45{col 51}{space 3}0.655{col 59}{space 4}-.0193434{col 72}{space 3} .0307483
{txt}{space 8}lgeunrest {c |}{col 19}{res}{space 2}-.0092872{col 31}{space 2} .0795529{col 42}{space 1}   -0.12{col 51}{space 3}0.907{col 59}{space 4}-.1652081{col 72}{space 3} .1466336
{txt}{space 12}lggdp {c |}{col 19}{res}{space 2} .0095759{col 31}{space 2} .0127258{col 42}{space 1}    0.75{col 51}{space 3}0.452{col 59}{space 4}-.0153663{col 72}{space 3} .0345181
{txt}{space 16}t {c |}{col 19}{res}{space 2}-.0943506{col 31}{space 2} .0472663{col 42}{space 1}   -2.00{col 51}{space 3}0.046{col 59}{space 4}-.1869908{col 72}{space 3}-.0017104
{txt}{space 15}t2 {c |}{col 19}{res}{space 2}  .006074{col 31}{space 2} .0036386{col 42}{space 1}    1.67{col 51}{space 3}0.095{col 59}{space 4}-.0010575{col 72}{space 3} .0132055
{txt}{space 15}t3 {c |}{col 19}{res}{space 2}-.0000839{col 31}{space 2} .0000722{col 42}{space 1}   -1.16{col 51}{space 3}0.245{col 59}{space 4}-.0002254{col 72}{space 3} .0000576
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *FIGURE A1

. logit midforce lgswid8 lglnmilex borders openness lgmunrest lgeunrest lggdp mft mft2 mft3 if polity2>5, nolog vce (cluster ccode)
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     2,299
{txt}{col 49}Wald chi2({res}10{txt}){col 67}= {res}    333.40
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-532.06146{txt}{col 49}Pseudo R2{col 67}= {res}    0.3768

{txt}{ralign 78:(Std. Err. adjusted for {res:113} clusters in ccode)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    midforce{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}lgswid8 {c |}{col 14}{res}{space 2} .0257417{col 26}{space 2} .0112204{col 37}{space 1}    2.29{col 46}{space 3}0.022{col 54}{space 4} .0037501{col 67}{space 3} .0477334
{txt}{space 3}lglnmilex {c |}{col 14}{res}{space 2} .3483463{col 26}{space 2} .0511629{col 37}{space 1}    6.81{col 46}{space 3}0.000{col 54}{space 4} .2480688{col 67}{space 3} .4486237
{txt}{space 5}borders {c |}{col 14}{res}{space 2} .0061116{col 26}{space 2} .0316827{col 37}{space 1}    0.19{col 46}{space 3}0.847{col 54}{space 4}-.0559855{col 67}{space 3} .0682086
{txt}{space 4}openness {c |}{col 14}{res}{space 2} -.000526{col 26}{space 2}  .003177{col 37}{space 1}   -0.17{col 46}{space 3}0.869{col 54}{space 4}-.0067528{col 67}{space 3} .0057009
{txt}{space 3}lgmunrest {c |}{col 14}{res}{space 2} .0136816{col 26}{space 2}   .02317{col 37}{space 1}    0.59{col 46}{space 3}0.555{col 54}{space 4}-.0317307{col 67}{space 3} .0590939
{txt}{space 3}lgeunrest {c |}{col 14}{res}{space 2} .3735128{col 26}{space 2} .1024442{col 37}{space 1}    3.65{col 46}{space 3}0.000{col 54}{space 4} .1727258{col 67}{space 3} .5742997
{txt}{space 7}lggdp {c |}{col 14}{res}{space 2}-.0243484{col 26}{space 2} .0236506{col 37}{space 1}   -1.03{col 46}{space 3}0.303{col 54}{space 4}-.0707027{col 67}{space 3} .0220059
{txt}{space 9}mft {c |}{col 14}{res}{space 2}-.6943732{col 26}{space 2} .0674372{col 37}{space 1}  -10.30{col 46}{space 3}0.000{col 54}{space 4}-.8265478{col 67}{space 3}-.5621986
{txt}{space 8}mft2 {c |}{col 14}{res}{space 2} .0380222{col 26}{space 2} .0046747{col 37}{space 1}    8.13{col 46}{space 3}0.000{col 54}{space 4} .0288599{col 67}{space 3} .0471845
{txt}{space 8}mft3 {c |}{col 14}{res}{space 2}-.0005723{col 26}{space 2} .0000887{col 37}{space 1}   -6.45{col 46}{space 3}0.000{col 54}{space 4}-.0007462{col 67}{space 3}-.0003984
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-6.324957{col 26}{space 2} 1.182455{col 37}{space 1}   -5.35{col 46}{space 3}0.000{col 54}{space 4}-8.642526{col 67}{space 3}-4.007389
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins, at(lgswid8=(20 30 40 50 60)) atmeans vsquish
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     2,299
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(midforce), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:lgswid8}{space 9}{txt:=} {space 9}20}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lglnmilex}{space 7}{txt:=} {space 3}13.74033 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:borders}{space 9}{txt:=} {space 4}3.31231 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:openness}{space 8}{txt:=} {space 3}73.99081 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lgmunrest}{space 7}{txt:=} {space 3}1.434102 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lgeunrest}{space 7}{txt:=} {space 3}.2214006 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lggdp}{space 11}{txt:=} {space 3}3.435319 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mft}{space 13}{txt:=} {space 3}15.44976 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mft2}{space 12}{txt:=} {space 3}442.3075 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mft3}{space 12}{txt:=} {space 3}15480.89 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:lgswid8}{space 9}{txt:=} {space 9}30}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lglnmilex}{space 7}{txt:=} {space 3}13.74033 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:borders}{space 9}{txt:=} {space 4}3.31231 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:openness}{space 8}{txt:=} {space 3}73.99081 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lgmunrest}{space 7}{txt:=} {space 3}1.434102 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lgeunrest}{space 7}{txt:=} {space 3}.2214006 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lggdp}{space 11}{txt:=} {space 3}3.435319 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mft}{space 13}{txt:=} {space 3}15.44976 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mft2}{space 12}{txt:=} {space 3}442.3075 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mft3}{space 12}{txt:=} {space 3}15480.89 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:lgswid8}{space 9}{txt:=} {space 9}40}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lglnmilex}{space 7}{txt:=} {space 3}13.74033 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:borders}{space 9}{txt:=} {space 4}3.31231 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:openness}{space 8}{txt:=} {space 3}73.99081 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lgmunrest}{space 7}{txt:=} {space 3}1.434102 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lgeunrest}{space 7}{txt:=} {space 3}.2214006 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lggdp}{space 11}{txt:=} {space 3}3.435319 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mft}{space 13}{txt:=} {space 3}15.44976 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mft2}{space 12}{txt:=} {space 3}442.3075 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mft3}{space 12}{txt:=} {space 3}15480.89 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:lgswid8}{space 9}{txt:=} {space 9}50}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lglnmilex}{space 7}{txt:=} {space 3}13.74033 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:borders}{space 9}{txt:=} {space 4}3.31231 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:openness}{space 8}{txt:=} {space 3}73.99081 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lgmunrest}{space 7}{txt:=} {space 3}1.434102 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lgeunrest}{space 7}{txt:=} {space 3}.2214006 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lggdp}{space 11}{txt:=} {space 3}3.435319 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mft}{space 13}{txt:=} {space 3}15.44976 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mft2}{space 12}{txt:=} {space 3}442.3075 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mft3}{space 12}{txt:=} {space 3}15480.89 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:lgswid8}{space 9}{txt:=} {space 9}60}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lglnmilex}{space 7}{txt:=} {space 3}13.74033 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:borders}{space 9}{txt:=} {space 4}3.31231 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:openness}{space 8}{txt:=} {space 3}73.99081 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lgmunrest}{space 7}{txt:=} {space 3}1.434102 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lgeunrest}{space 7}{txt:=} {space 3}.2214006 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lggdp}{space 11}{txt:=} {space 3}3.435319 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mft}{space 13}{txt:=} {space 3}15.44976 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mft2}{space 12}{txt:=} {space 3}442.3075 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mft3}{space 12}{txt:=} {space 3}15480.89 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0220138{col 26}{space 2} .0054752{col 37}{space 1}    4.02{col 46}{space 3}0.000{col 54}{space 4} .0112825{col 67}{space 3} .0327451
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0282939{col 26}{space 2} .0052301{col 37}{space 1}    5.41{col 46}{space 3}0.000{col 54}{space 4} .0180429{col 67}{space 3} .0385448
{txt}{space 10}3  {c |}{col 14}{res}{space 2}  .036299{col 26}{space 2} .0063431{col 37}{space 1}    5.72{col 46}{space 3}0.000{col 54}{space 4} .0238667{col 67}{space 3} .0487313
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0464607{col 26}{space 2} .0103662{col 37}{space 1}    4.48{col 46}{space 3}0.000{col 54}{space 4} .0261432{col 67}{space 3} .0667781
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .0592921{col 26}{space 2} .0177963{col 37}{space 1}    3.33{col 46}{space 3}0.001{col 54}{space 4}  .024412{col 67}{space 3} .0941721
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. marginsplot, yline (0) recast(line) recastci(rarea)
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: lgswid8{p_end}
{res}
{com}. 
. *FIGURE A2

. xtlogit mid lgswid8 lglncinc lgswid8xlglncinc borders openness lgmunrest lgeunrest lggdp t t2 t3, fe
{txt}note: multiple positive outcomes within groups encountered.
note: 60 groups (740 obs) dropped because of all positive or
      all negative outcomes.
note: borders omitted because of no within-group variance.
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1174.0937}  
Iteration 1:{space 3}log likelihood = {res:-1142.2632}  
Iteration 2:{space 3}log likelihood = {res:-1141.0356}  
Iteration 3:{space 3}log likelihood = {res:-1141.0314}  
Iteration 4:{space 3}log likelihood = {res:-1141.0314}  
{res}
{txt}Conditional fixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}     3,259
{txt}Group variable: {res}ccode{col 49}{txt}Number of groups{col 67}={col 69}{res}       111

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         4
{txt}{col 63}avg{col 67}={col 69}{res}      29.4
{txt}{col 63}max{col 67}={col 69}{res}        52

{txt}{col 49}LR chi2({res}10{txt}){col 67}={col 70}{res}   205.92
{txt}Log likelihood  = {res}-1141.0314{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}             mid{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}lgswid8 {c |}{col 18}{res}{space 2} .0164873{col 30}{space 2} .0519935{col 41}{space 1}    0.32{col 50}{space 3}0.751{col 58}{space 4}-.0854181{col 71}{space 3} .1183928
{txt}{space 8}lglncinc {c |}{col 18}{res}{space 2} .5497229{col 30}{space 2} .4167691{col 41}{space 1}    1.32{col 50}{space 3}0.187{col 58}{space 4}-.2671296{col 71}{space 3} 1.366575
{txt}lgswid8xlglncinc {c |}{col 18}{res}{space 2} -.008181{col 30}{space 2} .0095919{col 41}{space 1}   -0.85{col 50}{space 3}0.394{col 58}{space 4}-.0269807{col 71}{space 3} .0106187
{txt}{space 9}borders {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (omitted)
{space 8}openness {c |}{col 18}{res}{space 2}-.0053745{col 30}{space 2} .0032164{col 41}{space 1}   -1.67{col 50}{space 3}0.095{col 58}{space 4}-.0116784{col 71}{space 3} .0009295
{txt}{space 7}lgmunrest {c |}{col 18}{res}{space 2}-.0096917{col 30}{space 2} .0111539{col 41}{space 1}   -0.87{col 50}{space 3}0.385{col 58}{space 4}-.0315529{col 71}{space 3} .0121695
{txt}{space 7}lgeunrest {c |}{col 18}{res}{space 2} .0255742{col 30}{space 2} .0460187{col 41}{space 1}    0.56{col 50}{space 3}0.578{col 58}{space 4}-.0646209{col 71}{space 3} .1157693
{txt}{space 11}lggdp {c |}{col 18}{res}{space 2}-.0162881{col 30}{space 2} .0105448{col 41}{space 1}   -1.54{col 50}{space 3}0.122{col 58}{space 4}-.0369555{col 71}{space 3} .0043793
{txt}{space 15}t {c |}{col 18}{res}{space 2}-.3873346{col 30}{space 2} .0356872{col 41}{space 1}  -10.85{col 50}{space 3}0.000{col 58}{space 4}-.4572802{col 71}{space 3} -.317389
{txt}{space 14}t2 {c |}{col 18}{res}{space 2} .0215713{col 30}{space 2} .0028398{col 41}{space 1}    7.60{col 50}{space 3}0.000{col 58}{space 4} .0160053{col 71}{space 3} .0271373
{txt}{space 14}t3 {c |}{col 18}{res}{space 2}-.0002696{col 30}{space 2} .0000573{col 41}{space 1}   -4.70{col 50}{space 3}0.000{col 58}{space 4}-.0003819{col 71}{space 3}-.0001573
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins, dydx(lgswid8) at(lglncinc=(-15(1)-1)) vsquish
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     3,259
{txt}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(mid|fixed effect is 0), predict(pu0)}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:lgswid8}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:lglncinc}{space 8}{txt:=} {space 8}-15}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:lglncinc}{space 8}{txt:=} {space 8}-14}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:lglncinc}{space 8}{txt:=} {space 8}-13}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:lglncinc}{space 8}{txt:=} {space 8}-12}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:lglncinc}{space 8}{txt:=} {space 8}-11}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:lglncinc}{space 8}{txt:=} {space 8}-10}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:lglncinc}{space 8}{txt:=} {space 9}-9}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:lglncinc}{space 8}{txt:=} {space 9}-8}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:lglncinc}{space 8}{txt:=} {space 9}-7}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:lglncinc}{space 8}{txt:=} {space 9}-6}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:lglncinc}{space 8}{txt:=} {space 9}-5}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:12._at}:{space 1}{res:{txt:lglncinc}{space 8}{txt:=} {space 9}-4}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:13._at}:{space 1}{res:{txt:lglncinc}{space 8}{txt:=} {space 9}-3}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:14._at}:{space 1}{res:{txt:lglncinc}{space 8}{txt:=} {space 9}-2}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:15._at}:{space 1}{res:{txt:lglncinc}{space 8}{txt:=} {space 9}-1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}lgswid8      {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0000311{col 26}{space 2} .0002551{col 37}{space 1}    0.12{col 46}{space 3}0.903{col 54}{space 4} -.000469{col 67}{space 3} .0005312
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0000533{col 26}{space 2} .0004141{col 37}{space 1}    0.13{col 46}{space 3}0.898{col 54}{space 4}-.0007583{col 67}{space 3} .0008648
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0000905{col 26}{space 2} .0006638{col 37}{space 1}    0.14{col 46}{space 3}0.892{col 54}{space 4}-.0012105{col 67}{space 3} .0013915
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0001519{col 26}{space 2} .0010456{col 37}{space 1}    0.15{col 46}{space 3}0.884{col 54}{space 4}-.0018974{col 67}{space 3} .0022013
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .0002506{col 26}{space 2} .0016088{col 37}{space 1}    0.16{col 46}{space 3}0.876{col 54}{space 4}-.0029026{col 67}{space 3} .0034037
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .0004031{col 26}{space 2} .0024029{col 37}{space 1}    0.17{col 46}{space 3}0.867{col 54}{space 4}-.0043065{col 67}{space 3} .0051127
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0006285{col 26}{space 2} .0034643{col 37}{space 1}    0.18{col 46}{space 3}0.856{col 54}{space 4}-.0061614{col 67}{space 3} .0074184
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .0009439{col 26}{space 2} .0047943{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4}-.0084527{col 67}{space 3} .0103405
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .0013564{col 26}{space 2} .0063274{col 37}{space 1}    0.21{col 46}{space 3}0.830{col 54}{space 4} -.011045{col 67}{space 3} .0137578
{txt}{space 9}10  {c |}{col 14}{res}{space 2}  .001851{col 26}{space 2} .0079072{col 37}{space 1}    0.23{col 46}{space 3}0.815{col 54}{space 4}-.0136469{col 67}{space 3} .0173488
{txt}{space 9}11  {c |}{col 14}{res}{space 2} .0023778{col 26}{space 2} .0093023{col 37}{space 1}    0.26{col 46}{space 3}0.798{col 54}{space 4}-.0158544{col 67}{space 3} .0206101
{txt}{space 9}12  {c |}{col 14}{res}{space 2} .0028517{col 26}{space 2} .0102696{col 37}{space 1}    0.28{col 46}{space 3}0.781{col 54}{space 4}-.0172763{col 67}{space 3} .0229797
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .0031701{col 26}{space 2}   .01064{col 37}{space 1}    0.30{col 46}{space 3}0.766{col 54}{space 4}-.0176839{col 67}{space 3} .0240241
{txt}{space 9}14  {c |}{col 14}{res}{space 2} .0032502{col 26}{space 2} .0103852{col 37}{space 1}    0.31{col 46}{space 3}0.754{col 54}{space 4}-.0171043{col 67}{space 3} .0236048
{txt}{space 9}15  {c |}{col 14}{res}{space 2} .0030678{col 26}{space 2} .0096129{col 37}{space 1}    0.32{col 46}{space 3}0.750{col 54}{space 4}-.0157732{col 67}{space 3} .0219088
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. marginsplot, yline (0)
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: lglncinc{p_end}
{res}
{com}. 
. *FIGURE A3

. xtlogit MIDrecip1 lgswid8 lgpolity2 lgswid8Xlgpolity2 lglnmilex borders openness lgmunrest lgeunrest lggdp t t2 t3, fe
{txt}note: multiple positive outcomes within groups encountered.
note: 79 groups (1,359 obs) dropped because of all positive or
      all negative outcomes.
note: borders omitted because of no within-group variance.
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: -653.3545}  
Iteration 1:{space 3}log likelihood = {res:-647.58275}  
Iteration 2:{space 3}log likelihood = {res:-647.57311}  
Iteration 3:{space 3}log likelihood = {res:-647.57311}  
{res}
{txt}Conditional fixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}     2,326
{txt}Group variable: {res}ccode{col 49}{txt}Number of groups{col 67}={col 69}{res}        72

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         4
{txt}{col 63}avg{col 67}={col 69}{res}      32.3
{txt}{col 63}max{col 67}={col 69}{res}        52

{txt}{col 49}LR chi2({res}11{txt}){col 67}={col 70}{res}    21.90
{txt}Log likelihood  = {res}-647.57311{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0251

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        MIDrecip1{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}lgswid8 {c |}{col 19}{res}{space 2}-.0679705{col 31}{space 2} .0286428{col 42}{space 1}   -2.37{col 51}{space 3}0.018{col 59}{space 4}-.1241093{col 72}{space 3}-.0118317
{txt}{space 8}lgpolity2 {c |}{col 19}{res}{space 2}-.0422217{col 31}{space 2} .0885511{col 42}{space 1}   -0.48{col 51}{space 3}0.634{col 59}{space 4}-.2157788{col 72}{space 3} .1313353
{txt}lgswid8Xlgpolity2 {c |}{col 19}{res}{space 2}-.0002711{col 31}{space 2}  .002196{col 42}{space 1}   -0.12{col 51}{space 3}0.902{col 59}{space 4}-.0045751{col 72}{space 3} .0040329
{txt}{space 8}lglnmilex {c |}{col 19}{res}{space 2} .1142539{col 31}{space 2} .0813623{col 42}{space 1}    1.40{col 51}{space 3}0.160{col 59}{space 4}-.0452133{col 72}{space 3} .2737211
{txt}{space 10}borders {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 9}openness {c |}{col 19}{res}{space 2} .0001492{col 31}{space 2} .0047925{col 42}{space 1}    0.03{col 51}{space 3}0.975{col 59}{space 4}-.0092439{col 72}{space 3} .0095423
{txt}{space 8}lgmunrest {c |}{col 19}{res}{space 2} .0045355{col 31}{space 2} .0133642{col 42}{space 1}    0.34{col 51}{space 3}0.734{col 59}{space 4}-.0216578{col 72}{space 3} .0307289
{txt}{space 8}lgeunrest {c |}{col 19}{res}{space 2}-.0136309{col 31}{space 2} .0826466{col 42}{space 1}   -0.16{col 51}{space 3}0.869{col 59}{space 4}-.1756152{col 72}{space 3} .1483534
{txt}{space 12}lggdp {c |}{col 19}{res}{space 2} .0078193{col 31}{space 2} .0129824{col 42}{space 1}    0.60{col 51}{space 3}0.547{col 59}{space 4}-.0176257{col 72}{space 3} .0332644
{txt}{space 16}t {c |}{col 19}{res}{space 2} -.091844{col 31}{space 2} .0487727{col 42}{space 1}   -1.88{col 51}{space 3}0.060{col 59}{space 4}-.1874366{col 72}{space 3} .0037487
{txt}{space 15}t2 {c |}{col 19}{res}{space 2}  .005863{col 31}{space 2} .0037006{col 42}{space 1}    1.58{col 51}{space 3}0.113{col 59}{space 4}  -.00139{col 72}{space 3}  .013116
{txt}{space 15}t3 {c |}{col 19}{res}{space 2}-.0000778{col 31}{space 2} .0000725{col 42}{space 1}   -1.07{col 51}{space 3}0.284{col 59}{space 4}-.0002199{col 72}{space 3} .0000644
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins, dydx(lgswid8) at(lgpolity2=(-10(2)10)) vsquish
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     2,326
{txt}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(MIDrecip1|fixed effect is 0), predict(pu0)}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:lgswid8}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:lgpolity2}{space 7}{txt:=} {space 8}-10}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:lgpolity2}{space 7}{txt:=} {space 9}-8}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:lgpolity2}{space 7}{txt:=} {space 9}-6}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:lgpolity2}{space 7}{txt:=} {space 9}-4}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:lgpolity2}{space 7}{txt:=} {space 9}-2}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:lgpolity2}{space 7}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:lgpolity2}{space 7}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:lgpolity2}{space 7}{txt:=} {space 10}4}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:lgpolity2}{space 7}{txt:=} {space 10}6}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:lgpolity2}{space 7}{txt:=} {space 10}8}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:lgpolity2}{space 7}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}lgswid8      {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0134543{col 26}{space 2} .0057967{col 37}{space 1}   -2.32{col 46}{space 3}0.020{col 54}{space 4}-.0248156{col 67}{space 3}-.0020929
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.0131291{col 26}{space 2} .0056755{col 37}{space 1}   -2.31{col 46}{space 3}0.021{col 54}{space 4}-.0242528{col 67}{space 3}-.0020053
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0127808{col 26}{space 2} .0055298{col 37}{space 1}   -2.31{col 46}{space 3}0.021{col 54}{space 4}-.0236191{col 67}{space 3}-.0019426
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0124121{col 26}{space 2} .0053892{col 37}{space 1}   -2.30{col 46}{space 3}0.021{col 54}{space 4}-.0229747{col 67}{space 3}-.0018494
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.0120255{col 26}{space 2} .0052872{col 37}{space 1}   -2.27{col 46}{space 3}0.023{col 54}{space 4}-.0223881{col 67}{space 3}-.0016628
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.0116237{col 26}{space 2} .0052568{col 37}{space 1}   -2.21{col 46}{space 3}0.027{col 54}{space 4}-.0219268{col 67}{space 3}-.0013207
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.0112097{col 26}{space 2} .0053247{col 37}{space 1}   -2.11{col 46}{space 3}0.035{col 54}{space 4}-.0216459{col 67}{space 3}-.0007735
{txt}{space 10}8  {c |}{col 14}{res}{space 2} -.010786{col 26}{space 2} .0055051{col 37}{space 1}   -1.96{col 46}{space 3}0.050{col 54}{space 4}-.0215757{col 67}{space 3} 3.72e-06
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.0103554{col 26}{space 2} .0057965{col 37}{space 1}   -1.79{col 46}{space 3}0.074{col 54}{space 4}-.0217163{col 67}{space 3} .0010056
{txt}{space 9}10  {c |}{col 14}{res}{space 2}-.0099204{col 26}{space 2} .0061844{col 37}{space 1}   -1.60{col 46}{space 3}0.109{col 54}{space 4}-.0220417{col 67}{space 3} .0022008
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.0094837{col 26}{space 2}  .006646{col 37}{space 1}   -1.43{col 46}{space 3}0.154{col 54}{space 4}-.0225096{col 67}{space 3} .0035422
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. marginsplot, yline (0)
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: lgpolity2{p_end}
{res}
{com}. 
. *FIGURE A4

. xtlogit MIDrecip2 lgswid8 lgpolity2 lgswid8Xlgpolity2 lglnmilex borders openness lgmunrest lgeunrest lggdp t t2 t3, fe
{txt}note: multiple positive outcomes within groups encountered.
note: 78 groups (1,343 obs) dropped because of all positive or
      all negative outcomes.
note: borders omitted because of no within-group variance.
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:  -695.833}  
Iteration 1:{space 3}log likelihood = {res:-690.10799}  
Iteration 2:{space 3}log likelihood = {res:-690.09918}  
Iteration 3:{space 3}log likelihood = {res:-690.09918}  
{res}
{txt}Conditional fixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}     2,342
{txt}Group variable: {res}ccode{col 49}{txt}Number of groups{col 67}={col 69}{res}        73

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         4
{txt}{col 63}avg{col 67}={col 69}{res}      32.1
{txt}{col 63}max{col 67}={col 69}{res}        52

{txt}{col 49}LR chi2({res}11{txt}){col 67}={col 70}{res}    22.72
{txt}Log likelihood  = {res}-690.09918{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0194

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        MIDrecip2{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}lgswid8 {c |}{col 19}{res}{space 2} -.068439{col 31}{space 2} .0277332{col 42}{space 1}   -2.47{col 51}{space 3}0.014{col 59}{space 4}-.1227951{col 72}{space 3}-.0140828
{txt}{space 8}lgpolity2 {c |}{col 19}{res}{space 2}-.0432703{col 31}{space 2} .0837026{col 42}{space 1}   -0.52{col 51}{space 3}0.605{col 59}{space 4}-.2073245{col 72}{space 3} .1207839
{txt}lgswid8Xlgpolity2 {c |}{col 19}{res}{space 2}-.0001842{col 31}{space 2} .0020803{col 42}{space 1}   -0.09{col 51}{space 3}0.929{col 59}{space 4}-.0042615{col 72}{space 3} .0038931
{txt}{space 8}lglnmilex {c |}{col 19}{res}{space 2} .1068651{col 31}{space 2} .0794715{col 42}{space 1}    1.34{col 51}{space 3}0.179{col 59}{space 4}-.0488962{col 72}{space 3} .2626264
{txt}{space 10}borders {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 9}openness {c |}{col 19}{res}{space 2}-.0008211{col 31}{space 2} .0047186{col 42}{space 1}   -0.17{col 51}{space 3}0.862{col 59}{space 4}-.0100694{col 72}{space 3} .0084272
{txt}{space 8}lgmunrest {c |}{col 19}{res}{space 2} .0057024{col 31}{space 2} .0127787{col 42}{space 1}    0.45{col 51}{space 3}0.655{col 59}{space 4}-.0193434{col 72}{space 3} .0307483
{txt}{space 8}lgeunrest {c |}{col 19}{res}{space 2}-.0092872{col 31}{space 2} .0795529{col 42}{space 1}   -0.12{col 51}{space 3}0.907{col 59}{space 4}-.1652081{col 72}{space 3} .1466336
{txt}{space 12}lggdp {c |}{col 19}{res}{space 2} .0095759{col 31}{space 2} .0127258{col 42}{space 1}    0.75{col 51}{space 3}0.452{col 59}{space 4}-.0153663{col 72}{space 3} .0345181
{txt}{space 16}t {c |}{col 19}{res}{space 2}-.0943506{col 31}{space 2} .0472663{col 42}{space 1}   -2.00{col 51}{space 3}0.046{col 59}{space 4}-.1869908{col 72}{space 3}-.0017104
{txt}{space 15}t2 {c |}{col 19}{res}{space 2}  .006074{col 31}{space 2} .0036386{col 42}{space 1}    1.67{col 51}{space 3}0.095{col 59}{space 4}-.0010575{col 72}{space 3} .0132055
{txt}{space 15}t3 {c |}{col 19}{res}{space 2}-.0000839{col 31}{space 2} .0000722{col 42}{space 1}   -1.16{col 51}{space 3}0.245{col 59}{space 4}-.0002254{col 72}{space 3} .0000576
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins, dydx(lgswid8) at(lgpolity2=(-10(2)10)) vsquish
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     2,342
{txt}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(MIDrecip2|fixed effect is 0), predict(pu0)}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:lgswid8}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:lgpolity2}{space 7}{txt:=} {space 8}-10}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:lgpolity2}{space 7}{txt:=} {space 9}-8}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:lgpolity2}{space 7}{txt:=} {space 9}-6}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:lgpolity2}{space 7}{txt:=} {space 9}-4}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:lgpolity2}{space 7}{txt:=} {space 9}-2}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:lgpolity2}{space 7}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:lgpolity2}{space 7}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:lgpolity2}{space 7}{txt:=} {space 10}4}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:lgpolity2}{space 7}{txt:=} {space 10}6}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:lgpolity2}{space 7}{txt:=} {space 10}8}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:lgpolity2}{space 7}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}lgswid8      {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0129603{col 26}{space 2} .0062292{col 37}{space 1}   -2.08{col 46}{space 3}0.037{col 54}{space 4}-.0251694{col 67}{space 3}-.0007513
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.0125836{col 26}{space 2} .0060547{col 37}{space 1}   -2.08{col 46}{space 3}0.038{col 54}{space 4}-.0244507{col 67}{space 3}-.0007166
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0121874{col 26}{space 2} .0058613{col 37}{space 1}   -2.08{col 46}{space 3}0.038{col 54}{space 4}-.0236755{col 67}{space 3}-.0006994
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0117747{col 26}{space 2}  .005678{col 37}{space 1}   -2.07{col 46}{space 3}0.038{col 54}{space 4}-.0229035{col 67}{space 3} -.000646
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.0113484{col 26}{space 2} .0055354{col 37}{space 1}   -2.05{col 46}{space 3}0.040{col 54}{space 4}-.0221977{col 67}{space 3}-.0004992
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.0109116{col 26}{space 2} .0054618{col 37}{space 1}   -2.00{col 46}{space 3}0.046{col 54}{space 4}-.0216165{col 67}{space 3}-.0002067
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.0104671{col 26}{space 2} .0054784{col 37}{space 1}   -1.91{col 46}{space 3}0.056{col 54}{space 4}-.0212045{col 67}{space 3} .0002703
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.0100179{col 26}{space 2} .0055948{col 37}{space 1}   -1.79{col 46}{space 3}0.073{col 54}{space 4}-.0209835{col 67}{space 3} .0009477
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.0095666{col 26}{space 2} .0058075{col 37}{space 1}   -1.65{col 46}{space 3}0.100{col 54}{space 4}-.0209491{col 67}{space 3} .0018159
{txt}{space 9}10  {c |}{col 14}{res}{space 2}-.0091159{col 26}{space 2}  .006102{col 37}{space 1}   -1.49{col 46}{space 3}0.135{col 54}{space 4}-.0210755{col 67}{space 3} .0028438
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.0086681{col 26}{space 2}  .006457{col 37}{space 1}   -1.34{col 46}{space 3}0.179{col 54}{space 4}-.0213237{col 67}{space 3} .0039874
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. marginsplot, yline (0)
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: lgpolity2{p_end}
{res}
{com}. 
. 